diff --git a/offers/telecom-grounded-adversarial-set-20260222_183400/telecom-grounded-qa-adversarial-set-en-us-22001-20260222183323_enriched.csv b/offers/telecom-grounded-adversarial-set-20260222_183400/telecom-grounded-qa-adversarial-set-en-us-22001-20260222183323_enriched.csv
new file mode 100644
index 0000000000000000000000000000000000000000..fb028704e18d94a20d9dacbb64eb6573fc01b5cd
--- /dev/null
+++ b/offers/telecom-grounded-adversarial-set-20260222_183400/telecom-grounded-qa-adversarial-set-en-us-22001-20260222183323_enriched.csv
@@ -0,0 +1,10001 @@
+id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
+1,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1-168008.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2-642698.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3-431180.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4-381257.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5-468033.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6-974957.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7-701855.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8-977069.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9-332816.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+10,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 10-784387.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+11,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 11-458240.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+12,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 12-232763.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+13,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 13-964536.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+14,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 14-835031.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+15,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 15-161319.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+16,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 16-381005.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+17,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 17-230275.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+18,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 18-898455.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+19,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 19-424773.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+20,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 20-506844.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+21,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 21-998863.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+22,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 22-521897.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+23,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 23-511611.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+24,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 24-249387.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+25,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 25-114378.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+26,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 26-702110.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+27,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 27-213709.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+28,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 28-349876.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+29,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 29-895263.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+30,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 30-789704.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+31,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 31-365077.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+32,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 32-890272.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+33,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 33-528025.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+34,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 34-523663.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+35,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 35-434191.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+36,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 36-843886.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+37,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 37-926597.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+38,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 38-896507.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+39,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 39-747465.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+40,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 40-346328.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+41,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 41-498759.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+42,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 42-700034.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+43,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 43-792332.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+44,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 44-468461.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+45,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 45-338676.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+46,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 46-988977.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+47,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 47-553841.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+48,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 48-469424.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+49,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 49-878228.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+50,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 50-565581.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+51,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 51-506834.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+52,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 52-213163.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+53,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 53-109105.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+54,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 54-650464.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+55,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 55-319375.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+56,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 56-331744.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+57,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 57-519169.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+58,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 58-251746.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+59,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 59-456131.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+60,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 60-726564.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+61,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 61-798837.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+62,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 62-700786.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+63,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 63-839263.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+64,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 64-260119.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+65,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 65-834963.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+66,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 66-728530.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+67,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 67-966562.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+68,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 68-664093.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+69,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 69-831243.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+70,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 70-602349.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+71,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 71-737697.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+72,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 72-881579.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+73,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 73-377768.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+74,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 74-491284.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+75,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 75-624000.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+76,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 76-349349.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+77,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 77-711091.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+78,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 78-992689.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+79,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 79-847940.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+80,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 80-925231.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+81,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 81-532142.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+82,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 82-954347.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+83,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 83-911326.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+84,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 84-909548.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+85,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 85-993272.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+86,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 86-330740.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+87,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 87-435509.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+88,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 88-389673.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+89,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 89-110095.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+90,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 90-539258.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+91,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 91-691395.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+92,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 92-232255.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+93,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 93-509421.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+94,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 94-293380.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+95,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 95-228220.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+96,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 96-214901.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+97,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 97-775114.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+98,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 98-558299.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+99,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 99-996490.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 100-243357.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 101-248652.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 102-710541.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 103-375501.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 104-960709.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 105-631471.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 106-251681.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 107-435224.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 108-628303.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 109-603857.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 110-804470.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 111-201349.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 112-840630.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 113-829469.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 114-849891.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 115-367978.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 116-609583.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 117-713955.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 118-727756.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 119-345535.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 120-583213.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 121-296417.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 122-511640.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 123-792417.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 124-280478.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 125-595135.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 126-108295.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 127-613130.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 128-930753.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 129-120465.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 130-835660.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 131-892856.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 132-608682.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 133-186213.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 134-190461.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 135-415249.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 136-383040.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 137-292490.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 138-934925.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 139-922967.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 140-127938.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 141-259123.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 142-167832.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 143-670563.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 144-996971.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 145-745981.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 146-396761.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 147-339801.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 148-476729.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 149-430291.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 150-888387.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 151-420735.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 152-818006.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 153-890647.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 154-992340.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 155-614209.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 156-273908.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 157-628572.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 158-315757.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 159-914720.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 160-349820.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 161-916577.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 162-918148.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 163-412214.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 164-260781.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 165-137250.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 166-757234.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 167-325314.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 168-847849.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 169-190123.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 170-304462.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 171-966634.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 172-860931.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 173-947550.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 174-718114.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 175-633499.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 176-491671.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 177-767792.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 178-420504.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 179-988230.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 180-590436.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 181-300627.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 182-817505.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 183-406856.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 184-601286.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 185-860657.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 186-436268.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 187-764186.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 188-788511.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 189-215714.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 190-956315.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 191-309931.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 192-782173.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 193-161009.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 194-196169.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 195-837822.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 196-166376.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 197-190168.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 198-323959.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 199-121650.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 200-518475.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 201-373343.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 202-768254.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 203-865349.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 204-872478.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 205-390053.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 206-521271.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 207-694892.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 208-740319.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 209-292982.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 210-542980.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 211-441508.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 212-648482.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 213-198293.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 214-657485.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 215-580503.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 216-195800.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 217-776300.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 218-401554.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 219-189550.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 220-341352.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 221-230410.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 222-998343.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 223-816050.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 224-406172.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 225-601924.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 226-998174.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 227-558085.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 228-800558.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 229-971534.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 230-245406.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 231-265580.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 232-328958.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 233-887312.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 234-168859.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 235-735922.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 236-868395.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 237-599814.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 238-734471.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 239-335740.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 240-999081.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 241-353649.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 242-753538.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 243-592884.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 244-604631.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 245-838454.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 246-309482.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 247-180989.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 248-959963.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 249-572807.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 250-554450.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 251-173164.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 252-506521.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 253-710366.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 254-438122.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 255-479577.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 256-981467.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 257-773347.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 258-726711.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 259-470541.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 260-808682.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 261-253882.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 262-594573.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 263-204044.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 264-437613.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 265-145845.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 266-838930.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 267-754335.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 268-405414.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 269-742013.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 270-800901.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 271-320030.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 272-605672.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 273-146469.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 274-917041.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 275-424484.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 276-812054.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 277-487107.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 278-396178.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 279-683639.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 280-380285.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 281-270652.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 282-187135.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 283-591445.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 284-683250.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 285-574915.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 286-613010.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 287-304363.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 288-331203.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 289-250293.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 290-356524.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 291-248954.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 292-767301.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 293-214652.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 294-205224.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 295-881442.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 296-170887.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 297-804440.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 298-913952.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 299-293939.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 300-868856.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 301-597899.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 302-299245.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 303-436198.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 304-569379.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 305-723092.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 306-341455.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 307-525749.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 308-427762.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 309-795701.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 310-124688.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 311-387724.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 312-183573.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 313-585630.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 314-807280.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 315-191343.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 316-772158.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 317-755600.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 318-557617.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 319-669766.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 320-115720.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 321-367926.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 322-434342.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 323-433704.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 324-475138.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 325-319711.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 326-953715.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 327-452935.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 328-482256.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 329-376201.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 330-690254.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 331-953186.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 332-952771.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 333-590647.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 334-845456.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 335-580836.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 336-766292.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 337-671362.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 338-881893.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 339-920190.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 340-516843.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 341-742638.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 342-834903.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 343-715480.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 344-289425.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 345-776615.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 346-258902.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 347-172334.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 348-318116.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 349-145384.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 350-954093.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 351-108486.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 352-260574.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 353-726959.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 354-813767.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 355-622170.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 356-686922.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 357-821924.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 358-530258.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 359-972762.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 360-268141.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 361-241472.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 362-616543.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 363-491256.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 364-387126.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 365-375100.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 366-953461.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 367-228931.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 368-826812.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 369-956187.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 370-372509.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 371-818387.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 372-667918.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 373-694174.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 374-944511.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 375-501803.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 376-430030.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 377-641460.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 378-766051.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 379-672066.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 380-169478.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 381-367441.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 382-715636.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 383-957549.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 384-935259.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 385-928650.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 386-894003.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 387-797114.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 388-721417.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 389-616369.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 390-871395.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 391-123566.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 392-218308.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 393-363965.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 394-752098.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 395-979907.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 396-826248.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 397-668125.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 398-934517.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 399-230292.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 400-345000.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 401-491789.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 402-290488.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 403-377309.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 404-876205.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 405-682520.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 406-552714.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 407-613351.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 408-945700.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 409-941291.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 410-475766.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 411-112645.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 412-597633.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 413-260383.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 414-678803.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 415-967471.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 416-895823.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 417-429184.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 418-945673.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 419-942839.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 420-897189.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 421-183684.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 422-669958.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 423-399632.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 424-203046.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 425-446644.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 426-248903.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 427-889097.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 428-932535.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 429-491055.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 430-504182.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 431-390889.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 432-899922.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 433-414646.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 434-663703.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 435-262428.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 436-167775.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 437-972074.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 438-995612.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 439-539446.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 440-316463.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 441-546290.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 442-461824.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 443-542120.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 444-711229.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 445-791844.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 446-990833.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 447-920237.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 448-375177.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 449-213252.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 450-914013.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 451-949069.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 452-797329.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 453-988092.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 454-722260.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 455-803812.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 456-366802.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 457-193541.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 458-180569.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 459-664991.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 460-140451.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 461-869197.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 462-469397.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 463-446848.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 464-696432.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 465-864431.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 466-337535.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 467-480946.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 468-953307.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 469-984018.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 470-779778.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 471-506399.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 472-992367.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 473-668151.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 474-958032.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 475-319870.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 476-428158.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 477-544259.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 478-851278.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 479-833799.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 480-345837.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 481-720368.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 482-745837.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 483-386099.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 484-586002.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 485-590339.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 486-297780.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 487-917979.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 488-931015.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 489-838674.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 490-703446.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 491-611781.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 492-538645.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 493-439442.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 494-542732.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 495-909292.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 496-516759.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 497-135030.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 498-406791.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 499-946972.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 500-236617.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 501-428468.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 502-749944.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 503-525489.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 504-304707.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 505-761248.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 506-527919.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 507-656402.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 508-932463.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 509-491906.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 510-438740.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 511-932980.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 512-183109.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 513-794052.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 514-345491.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 515-866516.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 516-563789.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 517-960334.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 518-828946.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 519-217728.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 520-652057.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 521-527468.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 522-131759.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 523-778352.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 524-864528.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 525-206538.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 526-271120.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 527-908223.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 528-417991.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 529-807765.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 530-201685.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 531-843685.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 532-189968.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 533-308612.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 534-568850.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 535-971305.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 536-440134.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 537-213529.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 538-752476.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 539-650361.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 540-524225.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 541-184692.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 542-945137.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 543-926872.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 544-958663.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 545-651125.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 546-390688.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 547-291620.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 548-243626.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 549-968352.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 550-275605.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 551-863105.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 552-775982.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 553-809319.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 554-903512.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 555-691005.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 556-740548.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 557-580350.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 558-120962.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 559-406085.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 560-772930.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 561-919284.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 562-684673.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 563-891874.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 564-655813.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 565-894497.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 566-583958.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 567-894461.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 568-243737.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 569-504862.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 570-102302.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 571-381937.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 572-484271.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 573-575157.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 574-372886.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 575-203208.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 576-759344.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 577-639220.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 578-718092.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 579-959411.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 580-468985.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 581-275334.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 582-462143.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 583-789267.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 584-745782.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 585-210187.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 586-222771.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 587-887370.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 588-454382.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 589-939428.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 590-146154.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 591-741684.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 592-895409.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 593-341016.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 594-933655.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 595-426644.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 596-754384.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 597-547821.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 598-343062.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 599-361808.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 600-783357.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 601-267147.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 602-470656.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 603-553384.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 604-670378.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 605-741837.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 606-947223.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 607-193441.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 608-990096.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 609-875094.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 610-572183.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 611-844193.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 612-327710.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 613-640587.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 614-414199.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 615-185592.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 616-662938.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 617-963893.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 618-490570.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 619-118352.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 620-852381.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 621-616371.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 622-436423.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 623-205687.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 624-301079.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 625-103013.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 626-991047.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 627-295927.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 628-300952.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 629-955817.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 630-928080.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 631-217801.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 632-165307.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 633-918826.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 634-498084.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 635-823336.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 636-117690.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 637-286392.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 638-663571.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 639-572562.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 640-572391.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 641-155622.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 642-569383.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 643-931599.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 644-177616.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 645-356019.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 646-518324.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 647-528433.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 648-525777.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 649-891638.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 650-489197.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 651-283137.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 652-121960.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 653-238556.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 654-912107.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 655-717501.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 656-265950.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 657-940662.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 658-558625.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 659-922742.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 660-910382.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 661-890724.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 662-100305.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 663-950778.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 664-493565.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 665-910681.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 666-986590.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 667-622430.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 668-836168.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 669-124385.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 670-555439.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 671-142847.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 672-706976.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 673-911040.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 674-247509.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 675-691230.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 676-593441.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 677-722084.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 678-874175.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 679-372197.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 680-321318.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 681-443514.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 682-447947.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 683-978654.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 684-885001.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 685-868084.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 686-640251.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 687-703698.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 688-840161.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 689-682120.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 690-108072.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 691-628039.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 692-864613.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 693-365891.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 694-858628.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 695-582026.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 696-704763.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 697-242504.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 698-414728.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 699-303843.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 700-816455.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 701-735180.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 702-179255.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 703-523736.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 704-126252.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 705-616698.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 706-664428.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 707-798293.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 708-956529.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 709-441724.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 710-754286.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 711-881237.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 712-974141.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 713-582960.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 714-529023.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 715-753509.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 716-785203.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 717-550644.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 718-476173.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 719-530304.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 720-727051.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 721-781276.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 722-325011.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 723-456249.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 724-154627.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 725-478451.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 726-511073.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 727-130483.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 728-961981.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 729-373893.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 730-334471.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 731-455905.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 732-193730.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 733-917851.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 734-885375.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 735-602435.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 736-440680.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 737-488728.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 738-905544.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 739-389837.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 740-670928.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 741-842339.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 742-128459.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 743-187166.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 744-893745.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 745-482847.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 746-511477.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 747-602117.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 748-831825.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 749-396286.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 750-285193.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 751-351838.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 752-109894.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 753-488519.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 754-586750.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 755-334593.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 756-575009.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 757-239896.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 758-684568.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 759-679191.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 760-380549.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 761-103961.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 762-651882.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 763-345137.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 764-114094.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 765-328477.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 766-899471.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 767-521572.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 768-142128.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 769-623237.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 770-911067.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 771-264900.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 772-618214.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 773-155610.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 774-365928.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 775-182867.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 776-206978.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 777-433074.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 778-879077.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 779-293032.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 780-817659.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 781-870721.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 782-850150.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 783-761460.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 784-475887.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 785-347858.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 786-676208.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 787-809157.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 788-266438.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 789-105673.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 790-721518.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 791-519526.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 792-227270.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 793-650934.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 794-321024.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 795-984542.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 796-717391.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 797-747801.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 798-847437.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 799-870940.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 800-861283.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 801-849844.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 802-521079.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 803-971529.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 804-852427.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 805-268682.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 806-839480.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 807-896184.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 808-514589.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 809-132682.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 810-472521.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 811-353416.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 812-352758.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 813-943535.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 814-866528.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 815-883491.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 816-337108.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 817-370937.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 818-508946.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 819-103450.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 820-241101.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 821-908125.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 822-599023.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 823-862322.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 824-894154.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 825-137972.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 826-858478.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 827-675265.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 828-415734.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 829-708667.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 830-689881.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 831-421213.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 832-366446.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 833-699474.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 834-357452.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 835-545955.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 836-124951.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 837-242309.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 838-273976.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 839-507757.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 840-288690.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 841-263580.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 842-173450.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 843-130378.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 844-952899.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 845-346952.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 846-908390.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 847-858755.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 848-445133.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 849-139974.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 850-546147.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 851-869725.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 852-921910.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 853-739553.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 854-340396.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 855-535099.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 856-860766.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 857-798065.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 858-154909.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 859-549911.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 860-365737.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 861-709673.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 862-763481.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 863-674214.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 864-483415.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 865-392504.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 866-334840.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 867-762368.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 868-450477.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 869-391624.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 870-941367.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 871-361342.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 872-719900.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 873-601924.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 874-601709.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 875-876011.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 876-441141.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 877-202399.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 878-325721.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 879-444104.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 880-509966.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 881-661030.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 882-245760.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 883-170676.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 884-269723.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 885-956220.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 886-963821.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 887-853489.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 888-322303.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 889-783070.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 890-935417.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 891-557110.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 892-598973.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 893-674893.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 894-417831.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 895-684274.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 896-711991.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 897-770898.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 898-245950.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 899-508907.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 900-304320.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 901-102747.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 902-256869.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 903-848217.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 904-289207.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 905-994330.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 906-295842.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 907-138226.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 908-522729.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 909-753124.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 910-790307.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 911-997019.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 912-289492.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 913-453708.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 914-487206.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 915-870345.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 916-223035.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 917-834420.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 918-186621.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 919-296765.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 920-567883.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 921-593645.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 922-645157.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 923-644607.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 924-878322.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 925-270436.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 926-133906.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 927-902752.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 928-706452.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 929-650417.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 930-150816.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 931-591745.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 932-549570.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 933-843848.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 934-970348.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 935-541622.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 936-430290.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 937-781008.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 938-974659.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 939-197068.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 940-602772.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 941-471860.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 942-628510.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 943-414705.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 944-326430.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 945-849861.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 946-434940.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 947-992650.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 948-127797.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 949-935146.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 950-204849.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 951-593273.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 952-730552.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 953-510315.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 954-498401.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 955-701308.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 956-962710.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 957-519844.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 958-840544.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 959-473026.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 960-854575.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 961-924245.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 962-663168.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 963-206817.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 964-693136.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 965-919250.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 966-105484.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 967-604256.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 968-462889.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 969-372043.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 970-101047.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 971-389848.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 972-370662.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 973-192520.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 974-529495.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 975-809053.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 976-323006.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 977-432663.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 978-129253.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 979-654927.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 980-853131.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 981-138063.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 982-794256.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 983-766582.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 984-636894.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 985-327928.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 986-822454.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 987-184684.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 988-760588.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 989-478606.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 990-464541.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 991-130189.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 992-114742.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 993-612309.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 994-729921.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 995-558898.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 996-574169.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 997-795586.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 998-996123.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 999-761412.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1000-935347.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1001-925885.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1002-171257.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-243588.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1004-188734.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-940431.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-471503.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-871927.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-845108.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1009-567072.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1010-621274.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-888052.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1012-475302.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1013-527148.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1014-933588.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1015-694025.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-110711.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1017-722729.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1018-170281.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1019-452075.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1020-548723.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-640912.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1022-276117.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-433114.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-144230.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1025-892363.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-518454.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-555464.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-293802.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1029-298454.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1030-222492.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1031-306018.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1032-489541.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1033-739563.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1034-949697.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1035-279173.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1036-806804.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1037-698808.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1038-708696.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1039-168264.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1040-368793.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-176025.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-807284.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1043-634595.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-640709.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-776350.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1046-937051.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1047-490584.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-688294.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1049-906928.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1050-964697.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-315962.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1052-742143.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1053-256113.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1054-169270.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1055-969196.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1056-486318.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1057-965654.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1058-736861.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1059-304266.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1060-324939.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1061-515889.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1062-396400.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1063-401304.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1064-172645.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1065-370136.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-259535.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1067-499124.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1068-493560.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1069-627806.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1070-191475.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1071-109746.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-829275.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-850097.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-575600.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-609342.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-504141.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1077-543924.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1078-551411.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1079-358207.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1080-839940.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1081-430556.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1082-910905.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1083-978456.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1084-106205.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1085-780260.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1086-959976.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1087-466779.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-830927.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1089-691883.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-909355.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1091-975863.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1092-986381.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1093-437377.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1094-510838.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1095-749742.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1096-875938.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1097-662182.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1098-448572.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-981744.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1100-486499.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1101-366181.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1102-277741.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1103-709131.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-756260.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-412137.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1106-416206.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1107-162084.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1108-344486.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1109-790650.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1110-505686.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-306801.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1112-780777.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-640540.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1114-546876.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1115-926601.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1116-774543.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1117-684984.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-264330.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1119-829727.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1120-209868.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1121-386186.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1122-468506.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1123-344252.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-265934.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1125-481119.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1126-258330.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1127-195930.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-820528.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-538026.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1130-410372.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1131-682082.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-171404.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1133-997801.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1134-247287.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-362586.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1136-772604.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1137-580297.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1138-369004.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-416129.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-878328.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-130135.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1142-535955.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-912666.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-805227.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-351136.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-682138.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-178068.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1148-390339.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1149-250553.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1150-485368.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1151-883865.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-837270.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1153-251856.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-954773.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1155-741986.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1156-337476.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1157-522481.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1158-631410.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1159-857544.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-621491.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1161-914197.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-308357.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-201560.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1164-847190.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-221270.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1166-261227.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-950776.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-498831.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-942041.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1170-185033.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-278570.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1172-452332.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1173-706199.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1174-978534.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1175-986465.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1176-988444.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1177-213968.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-576693.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1179-362371.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1180-343936.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1181-571331.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1182-894525.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1183-720324.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1184-946549.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1185-780807.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1186-591518.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1187-415848.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-164296.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-618760.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-415436.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1191-675158.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-646566.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-745431.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1194-400562.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1195-297810.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-357398.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-265953.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-492282.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-851844.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1200-382915.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1201-832918.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1202-309832.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1203-989418.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1204-675690.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1205-923353.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1206-588763.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1207-949425.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1208-645465.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-954102.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-792302.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-737368.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1212-692755.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1213-882867.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-671837.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1215-206138.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1216-342718.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1217-600731.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-501994.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1219-410814.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1220-101346.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-139329.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1222-711693.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1223-142670.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1224-985594.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1225-789559.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1226-775353.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1227-835463.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-918776.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1229-352851.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1230-756169.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1231-203034.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1232-971095.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-637392.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1234-418044.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1235-652042.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-175887.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1237-428579.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-168365.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-869442.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1240-723392.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-892348.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-485617.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1243-336365.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1244-598217.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1245-669808.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-105965.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1247-628757.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-383013.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1249-781410.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1250-292801.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1251-103209.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1252-176033.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-199860.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-398449.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1255-605648.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-791405.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1257-100155.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1258-302177.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1259-522061.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-938177.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1261-214606.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1262-160214.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1263-788016.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1264-440021.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1265-664112.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-238915.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1267-171036.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-890268.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-176206.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1270-918820.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-154584.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1272-136177.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1273-740942.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1274-781773.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1275-308037.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-616047.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-999557.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1278-155622.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-133350.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-300919.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1281-985966.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1282-365473.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1283-941776.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1284-429808.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1285-745932.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-617224.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1287-989474.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1288-868636.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1289-903872.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1290-476930.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-457191.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1292-776503.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-599007.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1294-718349.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1295-903041.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1296-105456.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1297-841715.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1298-467292.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-381620.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1300-166972.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1301-343723.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1302-737512.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1303-337565.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1304-735440.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1305-281717.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1306-333385.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1307-692142.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1308-337900.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-150314.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-358959.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1311-179377.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-934818.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1313-859809.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1314-174067.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-198707.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1316-367745.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1317-796405.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-267398.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-552175.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1320-371024.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1321-205302.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1322-824748.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-820376.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1324-327837.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-240626.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-178900.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-864284.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-993972.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-954037.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1330-412924.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1331-509105.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-379813.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-174537.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1334-740595.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1335-980331.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-188096.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-773704.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1338-715225.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1339-291588.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1340-272997.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1341-391622.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-821601.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1343-764279.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1344-122085.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1345-788398.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1346-387825.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-314969.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1348-127896.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1349-394617.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-982706.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-112698.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1352-743828.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1353-766381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1354-461341.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1355-696720.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1356-128860.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1357-988722.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1358-964062.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-590106.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1360-589798.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1361-150439.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-902928.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1363-889887.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-129091.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1365-765726.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1366-763502.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1367-108748.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-287858.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-848348.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1370-947830.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1371-814391.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1372-807697.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-322885.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-610885.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-480011.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-417204.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1377-421190.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-270180.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-740901.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-272198.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1381-764589.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1382-293818.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1383-571994.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1384-136803.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-666763.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1386-846244.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1387-931600.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1388-786043.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1389-433467.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1390-758892.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1391-138408.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-268585.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1393-247959.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1394-661815.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1395-941158.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1396-834982.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1397-611638.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1398-435006.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1399-689338.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1400-705359.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-583173.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-426467.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-886786.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-889467.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1405-460311.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-840016.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-334526.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-466199.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1409-667071.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1410-391407.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1411-496694.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-430050.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1413-677203.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1414-301179.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-893026.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1416-297773.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1417-144469.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-927286.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1419-865587.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1420-879364.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1421-898324.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1422-672617.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1423-444443.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1424-481956.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-386448.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1426-231350.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-235871.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1428-897488.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-687043.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1430-761908.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1431-433057.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-239918.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-426314.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-358157.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1435-542130.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-130028.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1437-191372.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-131960.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-538928.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-822727.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-757518.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-459768.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1443-720675.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1444-885010.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1445-603098.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1446-380256.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-971449.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-984923.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1449-853863.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-602621.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1451-944093.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-227358.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1453-281528.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1454-435378.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1455-578544.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-391290.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1457-801714.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-354141.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1459-819670.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1460-221167.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1461-402746.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1462-621417.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1463-962175.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1464-363357.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1465-357666.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1466-154415.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1467-262604.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1468-508135.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1469-149789.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1470-781124.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-452162.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-984978.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1473-332961.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1474-479252.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1475-408199.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1476-467926.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1477-239232.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-675964.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-752643.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1480-210237.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-367091.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-160227.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1483-346534.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1484-355548.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-258742.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-710165.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1487-501236.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1488-140960.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1489-142673.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1490-282613.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1491-885182.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1492-919093.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1493-850803.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1494-569504.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1495-274544.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-896283.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-644975.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1498-364825.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1499-803388.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-370821.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-997945.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1502-675612.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1503-302935.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1504-562639.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1505-358861.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1506-600099.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1507-142399.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1508-292753.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-859316.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1510-987966.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1511-540899.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1512-662750.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1513-241989.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1514-704600.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1515-140159.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1516-909244.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-640333.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1518-136545.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1519-418553.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1520-502293.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1521-487301.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1522-875782.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-626686.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1524-806361.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-983921.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-667111.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-314635.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-670579.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1529-721158.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-759483.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-212388.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1532-416918.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-291555.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1534-726546.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1535-413142.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-522044.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1537-306328.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1538-783402.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-590863.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1540-163558.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-270380.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1542-757376.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1543-237836.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1544-376729.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1545-967141.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1546-462502.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1547-840709.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-639114.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-371299.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1550-387716.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-767948.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1552-234428.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1553-366499.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-190444.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1555-475333.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1556-289643.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1557-253568.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1558-577820.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1559-195680.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-734379.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-952171.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-670786.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1563-684905.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1564-952237.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-734634.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1566-115017.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1567-979622.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-840582.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-959855.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1570-887175.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-411559.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1572-503404.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1573-995715.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1574-386746.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1575-899377.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-575083.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1577-538842.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1578-344703.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-210878.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-267150.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-702419.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1582-551966.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1583-610731.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-358975.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-561477.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1586-905933.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1587-619955.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1588-199525.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1589-640481.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1590-206408.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-441802.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1592-685870.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1593-777647.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1594-184252.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1595-762666.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1596-831159.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-471501.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1598-930560.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1599-841981.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-915910.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-443470.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1602-779779.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-779817.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-361399.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-796607.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1606-874777.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-798915.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-651589.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-110223.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1610-687411.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1611-610967.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-157762.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-815359.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1614-101574.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-845963.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1616-747537.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1617-120649.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-738033.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1619-601598.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1620-998065.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1621-849094.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1622-904554.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1623-888410.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1624-929560.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1625-554204.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1626-476729.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1627-513458.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1628-773479.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-467456.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-647852.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1631-595293.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-762673.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-115069.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1634-684196.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1635-892712.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1636-520383.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-137381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1638-757353.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1639-627440.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-231834.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1641-192098.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1642-587440.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1643-673355.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-883366.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1645-814948.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-629769.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1647-647958.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1648-497007.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1649-451952.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1650-189569.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1651-856051.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1652-414641.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1653-394672.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-976031.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-504482.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1656-530889.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1657-718234.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1658-221542.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1659-194891.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1660-893247.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1661-817904.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1662-281541.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-214838.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-493303.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1665-489979.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-526562.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1667-915935.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-706931.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1669-464202.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1670-304856.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1671-161286.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1672-685136.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1673-363552.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1674-196137.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1675-919442.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1676-498900.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1677-395401.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1678-176230.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-827754.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-505842.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-829830.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1682-914598.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1683-237556.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1684-648255.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1685-711795.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-421753.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1687-944868.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-144055.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1689-230545.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1690-178144.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1691-448750.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1692-243658.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1693-269195.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1694-943747.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1695-735885.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1696-519833.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1697-552735.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1698-980557.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1699-492367.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-387443.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1701-477483.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-675233.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-830155.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1704-894172.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1705-950281.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-945593.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1707-517899.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-486966.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1709-293250.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-397493.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1711-780790.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1712-871994.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1713-376689.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1714-247765.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1715-631847.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-118594.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1717-908989.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1718-439322.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1719-763187.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1720-883693.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-284627.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1722-144009.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1723-703177.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-632177.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-480973.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1726-605440.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-521138.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1728-227995.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1729-910120.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1730-957391.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1731-941719.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1732-395368.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1733-854148.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-548908.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-418352.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1736-665913.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1737-138266.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1738-306692.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-417481.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-904743.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-407138.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1742-230854.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1743-615301.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1744-405647.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-984664.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1746-561958.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1747-571364.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-210156.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-718488.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-353019.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-651126.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1752-582569.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1753-569896.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1754-148111.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-307956.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-587390.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-634333.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1758-306765.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1759-118153.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1760-992721.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-278682.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1762-838089.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1763-838333.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1764-882397.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1765-168170.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-961635.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1767-558923.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1768-718023.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-703574.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-570752.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1771-524232.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1772-810985.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-472727.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1774-859665.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1775-103378.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1776-121632.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1777-910326.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1778-418204.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-963745.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-812090.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-952342.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1782-400815.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1783-316902.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1784-447903.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-691422.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-944900.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1787-905558.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-936992.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1789-530484.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-387350.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1791-504590.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1792-813874.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1793-613329.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1794-892517.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1795-112374.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-488135.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1797-123412.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1798-389195.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1799-385893.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1800-584408.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1801-206511.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1802-856355.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-766721.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1804-463892.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1805-790804.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1806-544453.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1807-964328.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1808-945154.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1809-203222.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1810-816758.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1811-534762.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-635956.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-498184.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1814-101893.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1815-686944.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1816-655946.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-575284.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1818-532441.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1819-274774.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1820-341918.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1821-134773.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1822-549554.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1823-422437.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1824-230564.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1825-153470.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-747990.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1827-550382.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1828-363396.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-468982.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-720706.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1831-987573.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1832-627430.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1833-906956.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-226132.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1835-248631.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1836-504074.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1837-344318.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-735337.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-380535.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-865740.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-286198.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1842-745617.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-540113.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1844-139667.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1845-282762.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1846-797381.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1847-353046.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-453054.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1849-635197.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1850-435216.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1851-137279.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-161614.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-576105.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1854-755589.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-147540.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-832593.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1857-755341.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1858-509467.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1859-144888.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-909425.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1861-527520.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-320035.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-561729.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1864-763769.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-341139.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-843322.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1867-702636.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-310017.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1869-963961.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1870-308093.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1871-898689.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1872-941797.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1873-179051.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-907463.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-315916.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-952364.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1877-579969.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1878-286073.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1879-254281.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1880-311938.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1881-756162.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1882-707420.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1883-467237.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-985658.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-920022.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1886-640988.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1887-212258.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-451299.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-480950.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-726986.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1891-809958.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-836480.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-652725.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1894-819803.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1895-341910.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1896-992600.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-379897.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-456849.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1899-337615.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-131718.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1901-960618.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1902-156971.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-599886.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1904-727447.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-720646.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-178894.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-498600.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1908-197290.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1909-959025.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1910-523334.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1911-144418.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-254263.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1913-707084.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1914-265212.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1915-707504.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-575546.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-873813.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1918-247540.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-248552.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1920-114440.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1921-779311.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1922-278749.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1923-679273.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1924-923688.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-856113.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-902658.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-893321.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1928-309403.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-677026.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1930-752623.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1931-331641.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1932-899302.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1933-233464.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-627645.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-241608.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-376284.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1937-566634.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1938-361181.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1939-190970.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1940-941392.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-924718.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1942-587552.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1943-422770.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-847308.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1945-176671.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1946-779121.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1947-692027.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-443790.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1949-502627.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-812154.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-899647.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-685178.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-109906.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1954-633664.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-219868.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-408287.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-780828.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-710887.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-189594.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1960-783047.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-534446.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1962-530157.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-531970.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-940702.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1965-549074.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-806680.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-664564.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1968-589326.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1969-330252.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-130845.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1971-160755.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1972-235968.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-763744.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-835586.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-924658.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-200170.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1977-254811.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-939430.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-265601.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-320003.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1981-386386.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1982-588462.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-498332.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-591389.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-937447.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-930801.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-715418.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1988-357174.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+1989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-423865.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-808189.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+1991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1991-131379.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1992-391900.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1993-287390.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1994-464346.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-505352.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+1996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-561075.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-179474.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+1998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-311641.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+1999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1999-921430.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-830828.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-495217.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-531806.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-482741.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2004-872636.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2005-364261.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-567544.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-223656.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-448629.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-336820.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-247150.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2011-147257.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-152072.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-307129.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-650437.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-837326.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-931632.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-580665.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2018-939214.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2019-881855.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-733903.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-294506.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-148012.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2023-875825.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-552773.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2025-442763.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-166225.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2027-667278.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-398741.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2029-729988.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2030-337319.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2031-240856.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2032-342060.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2033-525733.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2034-530842.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2035-232031.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-733648.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-704175.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-110306.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2039-778882.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2040-489557.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2041-113788.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2042-471159.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2043-780377.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2044-826938.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-532096.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-741432.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2047-757926.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2048-578144.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-665811.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-164579.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2051-149728.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2052-551049.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2053-509106.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2054-721410.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2055-932158.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2056-279167.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2057-177943.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2058-608262.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2059-844877.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2060-239705.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-374253.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2062-801654.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2063-719203.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2064-782727.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2065-700860.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2066-470896.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2067-511844.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2068-651856.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2069-876104.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2070-332695.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2071-720743.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-578913.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2073-397479.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2074-971149.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-221387.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-397649.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2077-926563.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2078-830837.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2079-343676.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-906603.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-413918.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-903912.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-698934.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2084-569333.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2085-304783.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2086-121790.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2087-853038.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2088-878959.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2089-861121.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2090-761618.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2091-209768.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2092-907274.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2093-525643.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2094-561034.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2095-728273.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2096-902831.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2097-991302.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2098-827135.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2099-309032.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2100-758793.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2101-544432.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2102-862214.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-721177.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2104-478628.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2105-196252.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2106-322111.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2107-429612.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-243351.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2109-758149.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2110-101477.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2111-607411.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2112-741068.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2113-101278.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-929354.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2115-816027.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2116-566511.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-153995.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-966701.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2119-608548.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-682314.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2121-327688.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2122-121799.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2123-147676.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2124-575102.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2125-409337.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-170482.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2127-467749.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-965019.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2129-392571.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-432538.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-183906.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2132-417683.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2133-944235.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-227532.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2135-107338.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-979728.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2137-859744.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2138-735439.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-543767.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-415418.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2141-909241.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-397790.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-427523.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2144-731224.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2145-188762.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-421630.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2147-272730.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2148-382504.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2149-410206.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2150-238791.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2151-635214.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-199685.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-261942.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2154-738725.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2155-920639.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2156-391867.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-938922.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2158-773607.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2159-964829.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2160-633149.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-501100.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-650433.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2163-790798.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2164-676620.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2165-184789.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2166-784144.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-884214.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2168-379478.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-611340.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2170-535985.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2171-422579.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-319702.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-769264.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2174-910101.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-974734.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-793660.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2177-389947.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2178-924233.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2179-635817.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2180-589373.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2181-711282.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-311400.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2183-448740.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2184-877322.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-361686.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-257063.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2187-537951.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2188-518895.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2189-576959.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2190-664033.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-556930.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-887297.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-580765.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2194-854917.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2195-545362.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-496635.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2197-468295.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2198-198293.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-194022.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2200-222567.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-317170.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2202-255656.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2203-758717.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-783547.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2205-646965.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2206-378829.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-138912.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2208-227829.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2209-293796.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2210-996589.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-150261.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2212-315793.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2213-725367.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2214-576139.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2215-376707.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-918050.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2217-546613.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-763418.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2219-672534.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-156785.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2221-828957.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2222-485331.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-367450.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-471954.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2225-342972.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-409853.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-558835.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-257166.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2229-658252.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2230-848076.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2231-617554.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-784488.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2233-579307.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-810932.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2235-877469.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-641362.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-270549.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2238-742202.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2239-599607.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2240-641556.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2241-709880.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2242-353182.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2243-407124.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-239440.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2245-657065.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2246-454044.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-554261.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2248-302701.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2249-595894.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2250-572232.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-785090.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-418063.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2253-308909.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2254-131131.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2255-394895.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2256-728531.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2257-710001.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2258-702809.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-853264.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2260-561708.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2261-581377.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-257104.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-702577.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2264-755568.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2265-944504.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2266-682845.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2267-905567.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2268-358552.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-517930.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-411002.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2271-457000.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-414375.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2273-599137.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2274-354907.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-554947.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-739867.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-488005.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2278-511571.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2279-324778.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2280-518931.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-657797.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2282-910355.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2283-212632.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2284-351422.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2285-767628.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2286-936736.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2287-253809.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2288-324868.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2289-296959.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2290-314054.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2291-423621.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2292-931690.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2293-917625.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2294-131875.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-174125.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2296-175824.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-202341.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2298-822657.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2299-397382.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-902954.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-652133.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-948697.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2303-325196.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2304-356937.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-222274.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2306-471513.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2307-645325.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-667945.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-768768.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2310-245574.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2311-677421.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2312-185887.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-188124.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2314-629883.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-482968.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-290494.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-838803.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2318-630217.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2319-978177.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2320-544684.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-174803.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2322-582695.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-679374.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-736875.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2325-444677.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-665048.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2327-480616.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-566589.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-734082.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2330-796480.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2331-647972.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2332-824163.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2333-454310.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-754603.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-999419.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2336-840441.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2337-793406.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-309282.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2339-954849.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-619317.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2341-223328.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-135185.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2343-478879.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2344-765605.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2345-933239.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-419851.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-877699.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2348-603785.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2349-464815.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2350-156542.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2351-546890.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2352-591831.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2353-537871.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2354-773394.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-355228.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2356-215237.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2357-826199.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2358-456487.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2359-344292.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2360-439282.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2361-749175.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-955276.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2363-701871.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-618095.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-571408.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2366-502500.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-713825.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-674810.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-880041.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-719746.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2371-474127.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-110245.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2373-659682.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-577553.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2375-431966.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2376-623141.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-656584.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2378-740569.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-799031.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2380-679778.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-625418.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-296803.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2383-696460.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2384-427565.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-951404.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-681421.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-269013.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2388-388807.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2389-887815.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2390-825190.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-726411.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-341767.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2393-221910.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2394-200790.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-676635.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2396-294852.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-152043.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2398-131590.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-816497.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2400-252381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2401-196637.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-185331.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2403-620842.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-729575.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2405-393653.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2406-529962.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-531365.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2408-434901.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2409-628596.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2410-163807.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-590962.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2412-413846.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-268014.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-665749.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-853399.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-937889.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2417-483949.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2418-395994.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-325703.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2420-511448.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-632191.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2422-826786.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2423-459790.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-581902.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2425-921595.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2426-357048.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-902760.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-811391.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2429-661092.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2430-579545.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-986806.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2432-510548.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2433-954908.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2434-774261.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2435-323774.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2436-577818.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2437-970238.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-755766.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-747075.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-818415.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-803302.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-844858.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2443-291403.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2444-215205.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-283847.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2446-121567.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2447-774287.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-678417.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2449-945871.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-984228.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-913132.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-455913.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-536771.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2454-839791.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2455-166397.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-733921.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-129808.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2458-551057.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2459-767697.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-926669.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-673281.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2462-551651.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2463-707173.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2464-841157.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2465-303338.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2466-119769.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2467-570109.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2468-260708.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2469-555864.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-529467.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2471-302690.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-563955.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-344429.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2474-483594.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-617508.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2476-961838.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2477-235301.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-241452.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-829620.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-508344.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-839296.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-607491.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2483-938801.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-716532.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-940556.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-669001.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2487-657268.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-669285.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2489-294027.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-392876.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-593810.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2492-213393.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-565496.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-328438.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-569233.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2496-591982.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2497-223897.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2498-698638.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-461732.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2500-738700.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2501-607611.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2502-401377.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2503-710717.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2504-942203.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-709424.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2506-272868.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2507-517480.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2508-953656.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2509-790027.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2510-830874.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-270273.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-696013.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-932909.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2514-949571.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-493149.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-536271.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2517-272554.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2518-234819.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2519-258898.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-412386.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-611331.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-201324.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2523-523385.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-986302.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2525-963866.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2526-183237.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2527-265960.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2528-664261.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2529-443818.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2530-456221.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2531-837802.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2532-363552.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2533-242830.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2534-477494.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2535-474067.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2536-489021.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2537-307844.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2538-642740.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-565764.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2540-477525.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-934067.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2542-785499.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-733753.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-705328.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-590233.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2546-915141.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2547-540687.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2548-857457.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2549-735914.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2550-849629.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2551-480120.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-630846.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2553-278758.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2554-997367.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-330323.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2556-301360.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2557-648985.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2558-781941.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-904256.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2560-211646.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2561-182851.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-878397.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2563-629127.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2564-368399.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-428369.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2566-940960.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-429504.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2568-766517.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-720710.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2570-830415.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2571-679916.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2572-340450.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2573-696322.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2574-906964.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-874824.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2576-145652.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2577-489853.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2578-219946.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2579-604659.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2580-359299.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2581-484077.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2582-380453.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-974998.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-478210.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2585-524583.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-839168.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-524164.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2588-900310.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2589-363569.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2590-571213.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2591-694054.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2592-915302.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2593-605646.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2594-374678.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2595-275973.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-854899.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2597-643280.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2598-446557.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2599-871755.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2600-601034.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2601-773864.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2602-554256.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-584566.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2604-328122.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-324608.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-759256.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2607-369418.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2608-679285.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2609-260485.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2610-339218.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2611-506666.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2612-437472.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-820834.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2614-296616.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2615-227346.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2616-144578.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2617-533841.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-520462.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-863740.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2620-392321.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2621-610996.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2622-824017.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2623-336562.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2624-893943.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2625-663625.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-250573.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2627-816880.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2628-733707.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2629-754040.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2630-692114.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2631-983043.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-536548.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2633-554656.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-725980.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2635-429964.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-423575.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2637-430602.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-456387.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2639-521178.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2640-587306.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-236056.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-246004.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-578267.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2644-241894.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2645-685100.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2646-318615.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2647-103801.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2648-435290.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2649-970854.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-147467.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2651-201816.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-213263.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2653-446056.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2654-570203.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2655-270111.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2656-689059.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2657-158662.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-871088.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2659-418104.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2660-136261.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2661-112209.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2662-557705.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-498226.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2664-476938.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2665-243786.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2666-424203.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2667-404708.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2668-309822.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-156952.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2670-660719.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2671-208307.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-148895.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2673-607761.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2674-634783.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2675-603540.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2676-304921.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-736317.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2678-392278.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-816709.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-458357.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-800247.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2682-568355.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2683-692247.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-504155.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2685-894852.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-585320.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-541152.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2688-834400.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2689-877291.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2690-585553.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-358869.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-546151.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-398800.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2694-400795.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-672920.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-165960.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2697-521590.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2698-188613.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-554717.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-351794.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2701-853224.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-332940.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-818267.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2704-814435.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-671373.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-173163.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-203821.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-543478.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-755023.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2710-727206.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2711-591106.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2712-990563.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2713-390704.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-298699.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-328162.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-832867.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2717-270603.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-687404.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-149103.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-581625.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2721-458407.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2722-311333.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2723-806909.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2724-231350.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2725-491527.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-822460.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2727-552134.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2728-263236.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-191538.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2730-472939.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2731-867219.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2732-712492.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-200314.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2734-307806.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-501462.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-291428.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-814557.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2738-617965.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-883801.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2740-175536.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2741-310924.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2742-227452.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-864790.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2744-146123.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2745-686122.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-464493.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2747-376052.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2748-830975.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2749-492784.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2750-759292.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2751-833880.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2752-592508.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2753-859824.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-581666.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2755-631961.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-144408.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-698112.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2758-258878.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-472524.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-815215.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-735861.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2762-329874.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-914247.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-293181.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2765-245638.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2766-490808.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2767-625153.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2768-272509.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2769-416036.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2770-156283.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2771-271285.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2772-657576.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-501048.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-263169.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2775-833685.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2776-472034.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-245043.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2778-865229.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2779-967704.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2780-625800.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-797127.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2782-929962.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-233362.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2784-711198.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2785-596774.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2786-314834.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2787-520006.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-238767.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-567205.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2790-554728.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2791-707626.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2792-402204.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-714958.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2794-677944.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2795-175826.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-112153.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2797-999787.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2798-945256.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-129549.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2800-652036.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-926970.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2802-806345.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-130966.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2804-987818.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2805-745186.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-884338.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2807-296301.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-260549.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2809-375015.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2810-488672.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-668996.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-471006.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2813-931133.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2814-338735.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2815-211928.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2816-909737.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2817-481070.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2818-127188.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2819-997413.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-521336.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2821-644230.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2822-249711.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2823-561155.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2824-135114.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2825-175307.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-753522.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2827-428062.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-181987.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2829-417948.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-560838.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2831-529458.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-866119.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2833-799515.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-166301.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-600996.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2836-570155.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-441572.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2838-668750.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2839-253692.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2840-168315.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2841-163444.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2842-285774.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-476720.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-690980.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2845-916165.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-984406.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-450724.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2848-776165.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-961919.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-522126.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-558565.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-939006.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-492451.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-647693.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2855-184792.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-172645.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2857-172416.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2858-675270.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2859-133735.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-673223.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2861-106073.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2862-339529.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2863-635877.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2864-460615.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2865-926958.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-584178.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2867-602009.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2868-604785.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-192828.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2870-903324.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2871-848137.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2872-291717.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2873-413155.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2874-480482.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2875-123487.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2876-122152.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2877-778569.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2878-264089.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2879-765341.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2880-827425.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2881-438065.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2882-394732.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2883-427207.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2884-285943.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2885-125981.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2886-724039.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-728314.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-559315.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2889-155241.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2890-784679.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2891-184910.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2892-120941.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2893-153632.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2894-932040.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2895-794789.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-236271.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2897-230517.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2898-258924.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2899-544065.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2900-196896.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2901-572381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2902-275033.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-430926.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2904-845484.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2905-675017.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2906-188982.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2907-586907.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2908-742208.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2909-570081.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2910-899131.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2911-931512.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2912-610251.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2913-446510.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-283599.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-587580.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2916-532329.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2917-516563.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-145256.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2919-886717.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2920-312793.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-770216.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2922-872197.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-787756.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2924-810108.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-673917.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2926-708312.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2927-815219.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2928-234959.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2929-647449.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2930-400347.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2931-605735.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-139848.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2933-910783.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2934-860747.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2935-410493.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2936-781602.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-965898.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2938-515726.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-800248.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2940-770832.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-621072.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2942-268475.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-703793.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2944-117543.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2945-978213.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2946-297344.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2947-283999.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2948-235767.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2949-742794.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2950-628696.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-646316.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2952-604780.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2953-546367.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2954-916071.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-405607.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-423072.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-670631.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2958-592311.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2959-327506.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2960-183447.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2961-932212.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-204887.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-934674.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-354869.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2965-568020.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2966-515220.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-951691.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-459716.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2969-150223.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2970-895911.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2971-613069.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2972-161071.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-472304.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2974-434854.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2975-949660.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-554887.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-437977.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2978-416738.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2979-694770.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-595246.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-154407.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-147714.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2983-723598.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2984-341919.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2985-973995.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2986-374543.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2987-662024.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2988-671680.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2989-665672.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2990-440170.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+2991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2991-236357.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+2992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2992-763777.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2993-664213.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2994-928168.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2995-911703.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2996-346299.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+2997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2997-531174.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+2998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2998-761776.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+2999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2999-253214.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3000-997806.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3001-536118.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3002-490979.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3003-789929.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-970775.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-189106.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3006-494002.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3007-744919.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3008-285378.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3009-437847.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3010-377876.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-518220.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3012-859136.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3013-683069.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3014-859545.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3015-591024.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3016-961282.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3017-188354.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3018-454601.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-364137.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-420062.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-393519.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-280366.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3023-687842.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3024-557932.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3025-643299.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3026-579415.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3027-232151.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3028-420106.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3029-771421.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3030-123091.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3031-186910.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3032-293464.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3033-721839.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-617075.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3035-249579.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-168267.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3037-281000.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-646506.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3039-559630.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3040-702628.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-634527.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-836487.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-259102.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-572697.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3045-724698.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3046-738807.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3047-110575.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-444148.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-408263.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-456694.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-317868.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3052-761981.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-796942.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3054-651501.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3055-275116.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3056-497728.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3057-670757.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3058-699713.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3059-480297.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3060-534228.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-723084.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3062-846180.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3063-165663.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3064-789753.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3065-870307.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3066-198438.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3067-945584.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3068-791403.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3069-658244.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3070-603979.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3071-713563.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-942638.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3073-775572.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-248287.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-450502.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3076-971783.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-916837.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3078-965287.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3079-641972.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-613244.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3081-702500.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-818694.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3083-385070.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3084-154653.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-227042.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-673989.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-975432.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-117953.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-823928.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3090-469310.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3091-900434.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3092-511595.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3093-757258.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-325888.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3095-934953.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3096-496307.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3097-232743.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-283993.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-954536.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3100-781931.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3101-137316.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3102-394007.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3103-866316.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-263440.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-342449.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3106-609566.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3107-331443.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3108-417319.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-585952.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-776684.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3111-630961.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3112-602215.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3113-403161.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-885189.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3115-744401.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3116-483986.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3117-190382.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3118-379996.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-895253.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3120-587875.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3121-673483.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3122-760009.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3123-987194.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3124-589778.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-436720.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-340027.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3127-630532.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-849305.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-951036.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3130-470376.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3131-145189.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3132-985870.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3133-926774.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3134-476123.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-601978.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-425482.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3137-202303.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3138-177032.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-710880.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3140-229317.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3141-744743.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-322209.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3143-708177.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3144-159585.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3145-841284.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-292833.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3147-828747.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3148-222355.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-649775.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3150-268592.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-638237.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-564936.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3153-578138.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3154-479696.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3155-273736.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3156-483419.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3157-907370.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3158-608150.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3159-969798.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-628297.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3161-522743.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3162-576478.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3163-742938.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3164-939421.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-548921.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3166-224609.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3167-965775.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3168-717171.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3169-301381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3170-679524.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3171-556010.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-328116.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3173-793418.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3174-418555.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3175-797277.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3176-783838.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-962067.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-226656.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-679297.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3180-893839.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3181-338948.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3182-800713.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3183-232557.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3184-536815.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3185-944509.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3186-113068.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3187-534803.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3188-306679.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3189-477105.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3190-198384.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3191-261378.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3192-469347.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3193-407209.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-722421.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3195-127639.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3196-813321.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-746836.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3198-403797.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3199-976740.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3200-130958.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3201-883229.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3202-478418.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-511956.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3204-220954.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3205-682599.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3206-674360.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3207-962372.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3208-484362.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3209-862305.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3210-515369.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3211-785611.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3212-551688.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-365159.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3214-207890.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3215-924311.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3216-313191.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-861470.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-988037.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-574652.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3220-630364.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3221-843848.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-960453.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-487165.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-766241.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-797637.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3226-781820.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-563300.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-596950.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3229-768187.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3230-158207.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-778437.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-243147.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-361584.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3234-656936.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3235-668171.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-485635.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3237-495935.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-375383.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-100078.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3240-965198.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3241-304105.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-769877.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-349933.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3244-555627.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-286360.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3246-357076.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3247-100289.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3248-932438.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3249-306073.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3250-651314.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3251-544634.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-450446.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3253-201274.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3254-154361.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3255-852968.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-784003.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3257-511094.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3258-520615.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3259-597107.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3260-773727.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3261-439745.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3262-146172.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3263-144992.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-587161.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3265-737467.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3266-640763.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-505051.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3268-110439.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-683351.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-429653.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3271-624052.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3272-994467.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3273-637447.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3274-339535.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3275-585265.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3276-783040.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-172161.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-493425.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3279-917419.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3280-650435.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3281-168797.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3282-890204.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3283-208404.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-390918.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3285-527126.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-547578.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3287-774946.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3288-787308.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3289-148311.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3290-786599.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3291-906688.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-626307.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-573991.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-112593.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-866815.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-570010.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3297-464634.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3298-421336.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-759714.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-466839.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3301-328555.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3302-651379.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3303-542073.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-216146.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3305-557566.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-275796.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-638244.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-930412.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-473799.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-663361.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3311-284131.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-622255.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3313-538197.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-846456.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3315-195757.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3316-412770.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-395203.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3318-138262.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3319-543259.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3320-880726.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3321-224413.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3322-387884.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3323-258279.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3324-522966.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3325-523042.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3326-910140.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-837192.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3328-309112.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-432568.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3330-414544.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3331-359513.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3332-680678.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-560210.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-988845.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3335-712939.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3336-550578.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3337-130550.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3338-555364.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3339-924669.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-133904.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3341-666943.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3342-907890.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3343-296262.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-945896.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3345-962456.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3346-602321.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3347-341453.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3348-647396.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3349-863161.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3350-626650.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3351-549506.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3352-469783.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-208089.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3354-183777.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3355-403692.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3356-863649.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3357-620442.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3358-272537.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-411184.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3360-519939.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3361-422792.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3362-805334.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3363-180141.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3364-946116.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-537586.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3366-969900.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3367-700145.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3368-665859.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-488833.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3370-298553.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-538084.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3372-859793.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-720559.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-924410.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-756285.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3376-498148.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3377-282822.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3378-686596.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3379-871757.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3380-667636.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-384742.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-141130.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3383-946745.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3384-163765.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-329290.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-244311.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3387-357213.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3388-391126.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3389-762210.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-934436.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3391-949306.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-422216.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3393-889173.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3394-518596.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3395-285989.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-443954.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3397-164366.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3398-469050.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3399-967322.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3400-744455.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3401-389779.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3402-786887.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3403-701293.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3404-125833.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3405-254973.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3406-801461.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3407-810381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3408-553395.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3409-461911.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-849211.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-930055.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3412-370522.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-506663.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3414-765375.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3415-420051.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-350836.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-781803.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3418-602264.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3419-497979.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-961091.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3421-912483.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3422-649311.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3423-281053.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-720704.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-354903.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3426-476098.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3427-355501.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3428-373158.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3429-815292.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-875638.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3431-922512.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3432-547255.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3433-311483.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3434-184428.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3435-758150.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-997865.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3437-155712.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3438-329357.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-427542.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-785915.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-637540.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-203794.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3443-804566.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3444-106591.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-803067.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-736324.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3447-301291.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-715857.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3449-706158.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-131273.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3451-552501.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3452-492736.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3453-598824.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-100572.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3455-805588.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-533134.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-833723.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3458-517249.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3459-201779.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3460-225825.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3461-288852.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-585399.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3463-307216.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3464-479420.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3465-221475.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-429135.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-260090.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3468-693897.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-160354.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3470-497217.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-872583.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-779763.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3473-413039.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3474-644830.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3475-149006.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-822858.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3477-529528.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-245068.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3479-912580.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-265856.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3481-975899.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3482-752651.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3483-813594.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3484-957614.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-883318.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3486-555456.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3487-441437.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-941439.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-558203.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-292071.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3491-111786.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-990761.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-531456.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-702323.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3495-162818.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3496-953047.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-278350.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-466109.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3499-166832.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3500-497801.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-904023.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-863097.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-811656.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3504-922899.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-688065.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-899090.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3507-361358.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3508-485652.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-643072.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-353495.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3511-851578.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-924481.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3513-593810.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3514-610719.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3515-914443.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3516-229020.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-810838.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-911643.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3519-138568.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3520-532020.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3521-185350.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-855117.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3523-699784.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3524-148761.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3525-874720.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3526-606268.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3527-828491.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3528-998597.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-200578.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-842899.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3531-570453.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3532-277148.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3533-889515.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-586204.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-459484.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3536-697248.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3537-778295.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-326167.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-807495.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3540-402124.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3541-387326.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3542-994141.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-915406.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3544-154413.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3545-909806.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-500904.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3547-884731.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3548-670265.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3549-568946.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3550-436897.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-663601.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3552-531141.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-743881.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3554-759613.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-932005.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-408775.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3557-309388.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3558-138528.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3559-328174.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-673366.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3561-462405.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3562-979539.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-897901.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3564-548736.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3565-478480.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3566-439804.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3567-297428.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3568-421281.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3569-605930.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-149273.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3571-362857.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3572-271258.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-715328.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-326360.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-660550.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3576-563252.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3577-195289.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-664585.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3579-655415.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3580-793457.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3581-310517.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-984010.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3583-461514.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3584-478912.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3585-670316.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3586-191388.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-200944.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3588-622297.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3589-782235.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3590-110900.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3591-310725.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3592-354358.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3593-684423.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3594-336521.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3595-136760.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3596-191329.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3597-936674.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3598-435262.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-363637.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-237090.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-179594.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3602-927597.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3603-772540.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3604-116993.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3605-140375.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-616974.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3607-578984.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3608-764475.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3609-412053.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3610-173592.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-130418.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-744567.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3613-669563.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3614-413344.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3615-635788.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-711344.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3617-257158.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-176077.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3619-238592.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3620-141917.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3621-326579.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3622-814759.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3623-583426.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3624-595491.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-422435.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3626-516465.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3627-780453.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-729270.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3629-984237.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-633076.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-566386.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-871688.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3633-684536.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3634-495935.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-146564.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3636-670470.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3637-451921.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-789202.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-535784.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3640-664922.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3641-324269.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-644256.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-982191.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-879259.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-288371.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-892305.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-779179.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-108401.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3649-755080.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3650-309052.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3651-946368.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-961666.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-845166.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3654-724346.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3655-188746.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3656-586446.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-294147.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3658-640945.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-736133.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3660-362621.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-896437.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3662-933355.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3663-941162.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3664-169681.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-529463.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3666-174095.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3667-954109.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-902188.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-537178.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3670-255209.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3671-753961.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3672-465523.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-380802.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-920745.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3675-671858.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3676-511825.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3677-609564.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3678-708978.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3679-142806.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3680-168716.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-452731.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3682-861449.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-678962.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-548588.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3685-823552.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-842252.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-290491.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3688-387324.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-725839.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-704592.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-739118.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-713826.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-457579.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3694-934051.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3695-503589.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3696-523579.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-302348.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-256833.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3699-481151.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3700-508966.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3701-500209.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3702-158371.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-903681.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-752464.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-764479.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3706-825387.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-786768.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-667422.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-612820.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3710-434942.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-473603.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3712-510953.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-290644.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3714-387248.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3715-740923.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3716-200813.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3717-990134.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-805276.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-601816.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-206285.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-262364.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3722-174786.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-950304.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-328798.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3725-262985.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-662936.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3727-247679.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-370753.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3729-246149.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-566338.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-842755.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3732-822401.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-188873.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3734-739212.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3735-443476.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-986691.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3737-328902.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-320405.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3739-531162.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3740-544017.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3741-535483.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3742-782467.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-176591.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-153747.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-977487.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3746-192259.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3747-912921.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3748-148122.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3749-486064.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-310775.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3751-336718.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-443210.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3753-416474.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-109475.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3755-537198.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3756-439695.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-445056.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-921878.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-584351.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3760-428309.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-297692.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3762-905546.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-589703.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3764-788118.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-848103.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-993863.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-677491.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3768-279641.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3769-542214.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3770-390626.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3771-901089.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-421012.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3773-976303.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-973777.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-590798.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-175639.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-950302.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3778-748818.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3779-179493.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-486543.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3781-577201.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-767692.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-446306.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3784-941192.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-352768.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-452899.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-702417.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-160159.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3789-698163.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-388669.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-650969.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3792-266154.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3793-636393.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3794-271079.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-502367.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3796-599429.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3797-189591.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3798-826991.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3799-390929.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-206989.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3801-345003.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3802-175557.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-435366.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-146097.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-505657.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3806-851929.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3807-806978.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3808-502612.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-745298.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3810-351006.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3811-934191.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3812-601906.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3813-614812.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-334828.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3815-223799.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3816-376309.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-508208.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3818-664787.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3819-375679.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3820-541157.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3821-669383.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-152380.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-492901.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-172159.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3825-763694.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3826-313406.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3827-643792.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-142768.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-460421.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-806358.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-913598.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3832-785545.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-713454.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3834-700530.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-957677.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3836-395949.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3837-967658.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3838-541817.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-773245.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-381235.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3841-185470.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-968003.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-411540.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3844-592397.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-288626.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-622447.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-912974.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-925773.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3849-377539.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-243260.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-321198.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-509348.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-131803.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3854-648877.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3855-265567.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3856-372541.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3857-562761.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3858-446969.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-130391.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-165379.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3861-232446.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-931463.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-550276.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3864-561371.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3865-785088.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3866-499603.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3867-238560.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3868-114385.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3869-258936.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-741779.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3871-955239.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-352185.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3873-963924.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-915243.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3875-382119.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3876-201656.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3877-243178.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3878-125391.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-149599.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3880-404811.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3881-229971.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3882-189616.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3883-178952.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3884-936931.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3885-962897.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3886-864162.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3887-759242.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-324095.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3889-379931.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3890-410149.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3891-383211.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-969638.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3893-948094.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3894-419917.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-694422.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3896-238790.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3897-487692.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3898-397677.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-596655.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3900-142979.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3901-123091.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-147998.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3903-646200.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3904-518770.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-420613.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3906-187134.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-656615.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3908-696886.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-755605.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3910-910880.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-735514.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3912-429642.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3913-333497.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-562648.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-541246.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-761371.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3917-416279.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3918-976223.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-727388.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-637147.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-205131.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-194771.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-428388.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3924-520074.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-263318.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3926-213885.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3927-969303.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3928-695434.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-159857.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-484557.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-105789.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-871700.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-580381.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3934-204728.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-418246.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3936-160459.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3937-563360.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3938-768237.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-453397.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-647879.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3941-542840.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3942-282590.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-889152.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3944-408252.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-191575.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3946-908143.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-329830.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3948-481736.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3949-813247.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-335346.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-276236.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-998164.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-775382.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-576063.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3955-491973.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3956-830616.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3957-529524.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-154792.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-740024.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3960-754640.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-163794.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3962-161361.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-579099.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-114812.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-885910.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-331147.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3967-465266.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3968-232897.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-996009.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-889932.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3971-640727.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-504622.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3973-307908.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+3974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-364434.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-102483.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3976-908006.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3977-357837.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3978-153574.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3979-433681.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3980-841307.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3981-255451.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3982-596633.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-185868.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3984-318490.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-310830.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3986-484611.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3987-727143.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3988-269956.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+3989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-724350.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-562765.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3991-945319.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3992-388885.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+3993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3993-391275.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3994-788255.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3995-434422.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3996-131511.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+3997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3997-710934.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3998-826632.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+3999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3999-589207.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4000-665031.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4001-644621.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4002-246953.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-981315.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-568792.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4005-271063.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4006-278103.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4007-473927.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4008-226151.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4009-624765.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4010-497993.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4011-227804.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4012-728382.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4013-433563.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-594063.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4015-314539.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4016-454261.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4017-772007.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4018-838635.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-908764.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4020-838136.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-231016.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4022-551467.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4023-284957.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-285654.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-893830.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-187858.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4027-704757.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-369030.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4029-327319.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4030-907824.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4031-741704.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-982300.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4033-504475.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4034-880557.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-841493.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4036-242098.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-889148.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-806004.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-589200.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4040-661580.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4041-847382.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4042-751766.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4043-207463.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4044-670871.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4045-425849.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-437481.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4047-936131.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4048-319754.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-437711.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4050-359610.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4051-573308.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4052-221570.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4053-290659.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-825527.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4055-725578.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4056-722942.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4057-686313.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4058-588680.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-251824.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4060-447310.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4061-395798.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-198897.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4063-866949.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-705813.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-926488.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-577108.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4067-620999.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4068-174985.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4069-133344.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-516236.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4071-858190.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-838597.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4073-720582.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-297966.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-680251.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4076-856672.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4077-263013.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4078-907645.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4079-324788.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4080-349790.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-846820.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4082-651635.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-807813.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-762314.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-102196.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4086-791186.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-128571.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-985319.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-553177.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-359722.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-804086.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4092-353876.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-911739.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-869456.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4095-738661.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-821120.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4097-823558.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4098-285259.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-486702.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4100-609555.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4101-325703.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-979582.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4103-341212.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4104-911653.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-287857.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-710375.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4107-423127.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-186393.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4109-627202.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4110-948760.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4111-528226.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4112-306432.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4113-842868.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-586198.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4115-595984.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4116-264300.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4117-393566.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4118-780056.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4119-797610.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4120-939073.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4121-101905.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-186330.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4123-494715.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4124-550801.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4125-553410.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4126-153691.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4127-930628.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4128-513691.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4129-593350.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-935336.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4131-311574.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4132-330483.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4133-819857.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-760513.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4135-733697.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4136-725534.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-184319.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4138-907080.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4139-432776.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4140-280320.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4141-200197.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4142-842244.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-379415.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4144-689873.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-495994.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4146-253792.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-746349.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-823521.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4149-379196.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4150-513583.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4151-981448.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4152-882698.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-546722.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4154-100836.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-988964.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4156-135709.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-318237.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-827961.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4159-972618.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-741030.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-534646.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-170329.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-741102.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4164-142122.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-566960.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-478639.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-232032.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4168-542512.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-610522.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4170-886837.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4171-816113.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-559739.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-954914.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4174-465982.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-797892.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-338626.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-703727.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-700562.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-491161.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4180-606430.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-776662.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-772913.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-693407.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-960751.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-586836.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4186-187997.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-917085.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4188-743616.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-423641.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-619473.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4191-810322.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4192-415138.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4193-745234.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-671220.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-651856.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-499891.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-943067.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-603053.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-293636.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-766792.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-275422.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-102575.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-584536.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4204-173558.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-890182.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4206-143163.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4207-545891.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4208-415758.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-586137.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-378552.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4211-569645.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4212-479898.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4213-467989.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-178265.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-393000.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-328305.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4217-769261.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-862207.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4219-273370.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-596176.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4221-519692.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-914194.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-928168.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4224-225709.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-121133.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-619880.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4227-644904.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4228-565897.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4229-739721.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-825860.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4231-590125.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-338076.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4233-911929.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4234-700900.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-650300.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4236-925076.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4237-432357.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4238-708642.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4239-595398.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4240-208386.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-677768.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-206051.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-365387.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-915396.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4245-420196.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-175273.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4247-709395.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4248-944100.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4249-305987.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-255914.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4251-207494.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-323649.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4253-721564.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-497487.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-650033.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-588517.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4257-749428.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-361321.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4259-553907.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4260-776852.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4261-285183.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4262-138396.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-103635.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4264-286911.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4265-741890.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4266-480548.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-577977.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4268-208116.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-252447.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4270-142736.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-583264.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-865513.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4273-702207.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4274-650936.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4275-944750.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-467876.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-819720.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-568786.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4279-453896.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-208724.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-273441.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-225854.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4283-195528.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4284-880433.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-147861.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4286-434628.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4287-100500.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4288-702835.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4289-287983.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4290-776445.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4291-616536.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4292-502534.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-570852.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-917934.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4295-679571.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4296-749210.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-952019.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-823237.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4299-178624.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4300-743185.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-460184.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4302-985147.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4303-433933.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4304-653177.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4305-795251.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-449869.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4307-942362.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-472856.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4309-212821.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4310-996729.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4311-758781.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4312-809924.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-589298.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-560548.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-725590.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4316-776249.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4317-519040.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4318-341069.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4319-438937.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4320-176192.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-769763.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4322-591392.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4323-495136.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4324-422881.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4325-131895.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4326-372102.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4327-169230.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4328-797554.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4329-968482.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4330-351757.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-383465.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-558558.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-979068.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4334-662119.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-322617.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4336-425959.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4337-375590.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4338-597792.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4339-186332.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4340-344884.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4341-511022.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-888379.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-744261.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4344-117563.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4345-499029.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4346-794811.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4347-837137.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-769234.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-822028.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4350-943598.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4351-100163.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-954716.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4353-312301.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4354-832036.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-798694.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4356-100410.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-429616.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4358-334823.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4359-579078.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4360-300171.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4361-872673.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4362-357343.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4363-804151.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4364-316725.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4365-732985.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4366-133236.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4367-926025.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4368-328564.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-669867.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4370-928250.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-835215.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4372-522163.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4373-940765.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4374-506666.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4375-670520.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4376-598224.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4377-710005.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-572412.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-524140.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-872498.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4381-754275.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4382-917091.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-941165.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4384-695398.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4385-199668.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4386-664603.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4387-500549.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-630491.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-835940.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4390-676937.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-547535.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4392-524717.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4393-433500.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-636975.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-202400.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-573466.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-836430.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-578824.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-638931.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4400-319831.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4401-194859.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4402-358709.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4403-732223.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4404-565966.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4405-399898.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4406-660682.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4407-515378.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4408-746261.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-836519.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-316595.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4411-991140.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4412-975774.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4413-445153.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4414-344669.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4415-968063.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-974293.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4417-532456.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4418-821467.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-490219.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4420-965632.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4421-568951.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4422-566048.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4423-433588.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-618953.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4425-802800.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4426-464008.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4427-679737.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-979800.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-432212.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4430-971491.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4431-910804.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4432-660615.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4433-230127.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4434-516536.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-686196.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4436-707999.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4437-991841.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4438-633004.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-951641.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4440-252951.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4441-662428.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4442-973894.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4443-193244.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4444-332210.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4445-869568.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4446-100588.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-152190.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4448-772959.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4449-816210.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4450-566231.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4451-826311.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4452-856631.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-173898.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-138264.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4455-555243.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4456-644963.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-247768.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4458-670290.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4459-903604.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4460-937155.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4461-275011.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4462-325059.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4463-440806.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4464-995749.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4465-939615.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-321922.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-748061.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-545667.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4469-829635.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4470-538920.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4471-669297.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4472-309338.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-729256.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4474-365180.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4475-814694.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4476-430249.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4477-538595.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4478-959070.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4479-755750.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4480-818058.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4481-775550.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-255172.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4483-579257.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4484-165765.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4485-950235.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-984843.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4487-325000.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4488-175913.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4489-335407.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-950116.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-701695.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-940429.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4493-560067.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-532412.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-505412.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4496-953275.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-466412.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-629335.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4499-561613.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-889531.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4501-464661.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4502-677079.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4503-705873.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4504-728677.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-498698.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4506-707489.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-203233.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4508-954684.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4509-350821.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4510-562469.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-524074.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4512-540988.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-591419.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4514-334221.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4515-240966.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4516-744471.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4517-949922.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4518-659540.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4519-481588.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4520-324555.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4521-499117.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4522-856821.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4523-725258.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4524-135906.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4525-942527.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-297473.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4527-340198.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4528-763270.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-760207.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-274689.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-825978.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4532-542088.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4533-404753.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4534-648642.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4535-281493.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4536-240257.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4537-600887.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-692596.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-696126.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-192698.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-623971.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4542-761600.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-135404.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4544-465679.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-502208.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4546-702237.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4547-148031.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4548-459797.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4549-191081.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4550-264399.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4551-525423.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4552-936483.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4553-520612.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4554-392720.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4555-752284.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-107357.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4557-419262.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4558-351641.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-199065.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4560-658559.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4561-808871.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4562-705679.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-934186.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4564-663649.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4565-169881.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-378104.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4567-627490.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-833385.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-518206.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4570-501584.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4571-237248.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-432926.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4573-852134.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4574-932882.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4575-569499.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4576-259770.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4577-294040.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4578-839853.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4579-241829.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-360244.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4581-815453.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4582-540649.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4583-429778.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-285091.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-767811.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4586-432580.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4587-246513.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-124975.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4589-148605.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-600900.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4591-969771.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-450313.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4593-658793.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-608689.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4595-755334.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-906517.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-226857.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4598-666489.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-743862.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4600-856100.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4601-828221.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-240756.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-931050.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4604-932786.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4605-739081.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4606-390518.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4607-179203.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4608-291012.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4609-729745.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4610-452627.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4611-192877.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4612-464921.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4613-996002.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4614-230931.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-928432.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4616-487241.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-886034.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4618-542941.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-605086.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4620-528984.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-775182.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4622-156567.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-406554.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4624-685529.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-764184.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4626-558707.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-862830.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-260498.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4629-744073.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4630-503396.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4631-396005.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-683166.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4633-686123.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-399361.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4635-175409.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-329710.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4637-388982.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4638-522903.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4639-731024.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-118558.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4641-353889.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4642-185239.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4643-211494.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4644-278921.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4645-535547.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4646-848967.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4647-865403.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4648-593077.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4649-392748.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4650-288319.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-194638.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4652-873181.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4653-549577.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4654-375299.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4655-427100.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4656-958104.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4657-804280.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4658-672231.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-433250.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4660-220255.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-307258.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4662-793572.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4663-328482.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4664-558032.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-408441.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4666-135142.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-167757.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-344545.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4669-127093.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4670-349929.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4671-690399.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4672-360997.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-100588.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4674-495355.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4675-543263.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-255083.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-758671.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4678-479672.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4679-517294.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4680-964472.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4681-274332.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4682-396447.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4683-987979.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-743841.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4685-192122.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4686-670115.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4687-791293.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-840835.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-153390.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4690-620792.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-128590.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-498006.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4693-265616.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4694-288868.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4695-147882.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4696-223279.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-766365.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4698-826973.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4699-470622.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4700-355145.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-540153.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4702-188054.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4703-701527.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4704-987364.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4705-420602.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-241445.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-966084.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4708-879596.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4709-612267.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-221191.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4711-488200.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-608121.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4713-888055.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-573658.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-318782.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-524385.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4717-158832.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4718-631992.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4719-591299.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-979669.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4721-889783.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4722-643621.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-489487.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4724-462931.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4725-715413.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-906142.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4727-257179.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4728-613999.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4729-558804.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-302011.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-653765.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4732-225019.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4733-251997.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-148655.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4735-451105.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-214473.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4737-790941.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-467741.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4739-440472.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-574241.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-258257.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-477136.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4743-801408.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-343247.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4745-957527.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4746-681151.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4747-224770.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4748-513956.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-757347.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4750-464698.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4751-698718.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4752-449835.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4753-389547.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-377879.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-195311.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-805958.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-990179.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4758-204034.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4759-786564.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4760-613759.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-691733.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4762-716404.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4763-703684.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-973082.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-797189.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-683893.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4767-449594.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-891372.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4769-870822.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4770-738141.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-604407.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4772-379918.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-942196.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4774-895049.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4775-119749.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4776-386423.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-605324.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-915611.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-706711.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4780-881753.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4781-192750.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-566459.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-485299.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-560693.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-987868.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4786-937769.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-133131.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4788-916168.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4789-750250.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-553713.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4791-822344.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4792-191853.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-312017.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-841188.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4795-616680.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-937566.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-503477.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4798-906759.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4799-617361.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4800-229345.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4801-821355.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4802-576298.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4803-316595.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4804-424559.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-890127.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4806-357793.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-723913.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4808-144631.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4809-969658.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4810-700165.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-766861.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4812-825313.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-887783.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4814-829717.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4815-574628.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-593052.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4817-373199.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-463497.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4819-246931.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-793830.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4821-586010.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4822-740644.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4823-445934.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4824-212918.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-283188.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-198753.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-306826.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-427551.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-730934.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4830-792824.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-372781.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4832-795619.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4833-619942.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4834-536220.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-752310.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4836-596841.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4837-406960.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-307254.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-998937.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-851112.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4841-291421.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-308100.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4843-621206.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-569810.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-686866.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4846-793104.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4847-448277.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-819483.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4849-680424.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4850-863502.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4851-856513.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-586513.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4853-798438.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4854-847549.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4855-360069.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-719968.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-946046.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-463132.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-626718.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-187160.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4861-773554.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4862-149339.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-299680.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-990681.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-535894.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-529027.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4867-738097.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4868-270274.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4869-888882.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-218851.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-204670.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-227126.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4873-188175.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4874-511712.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-528747.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4876-562920.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4877-669533.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-663946.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4879-864308.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4880-468646.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-725230.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-144781.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4883-711891.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4884-812777.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4885-733266.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4886-843847.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4887-937600.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4888-834905.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-578665.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4890-676541.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4891-805817.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4892-741365.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-136016.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4894-604278.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-313904.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4896-674224.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4897-247631.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4898-403024.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4899-230800.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-270595.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-845645.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-267606.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-513318.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-781553.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4905-970069.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4906-131779.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4907-193275.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4908-127929.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4909-731190.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4910-951676.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4911-575531.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4912-822315.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4913-589137.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-265715.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-465475.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-862206.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4917-296532.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4918-723164.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4919-475729.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4920-834633.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4921-761278.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-221281.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-206991.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-889139.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-371505.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4926-677183.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-360560.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4928-421904.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4929-691239.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4930-575287.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4931-430437.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4932-191481.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4933-636589.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4934-835549.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-192817.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4936-561650.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-776987.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4938-974407.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4939-887239.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4940-482867.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-215339.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-584767.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4943-924166.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4944-549127.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-282385.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4946-617732.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4947-485175.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-570326.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4949-334705.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4950-853225.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4951-853952.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4952-270406.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4953-269181.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4954-226583.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4955-248834.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4956-638354.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4957-730747.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4958-662687.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-624005.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-937144.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-940411.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-147061.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4963-401276.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4964-438005.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4965-780718.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4966-963127.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4967-383745.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4968-682654.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4969-221544.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4970-434947.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4971-882453.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-222565.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4973-460952.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4974-631002.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-445919.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-842735.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-692874.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-149020.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4979-922767.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4980-860483.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-639236.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4982-170598.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4983-614676.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4984-454026.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4985-391210.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-734847.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4987-778548.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-453040.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+4989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-462702.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4990-120136.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4991-525015.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-452843.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4993-363792.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+4994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4994-710562.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+4995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4995-512071.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+4996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-828358.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-329530.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4998-814347.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+4999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4999-882717.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5000-168087.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-365544.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5002-606474.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5003-133134.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5004-196615.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5005-130185.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5006-651665.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5007-162007.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5008-351743.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5009-519234.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5010-879246.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5011-510610.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5012-203193.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5013-262911.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-300425.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-261743.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5016-417459.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5017-596912.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5018-483200.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5019-655712.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5020-238916.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5021-854889.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5022-537078.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5023-992409.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5024-360498.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-882256.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5026-818046.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5027-679508.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-831727.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5029-964715.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5030-483651.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-461564.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-439106.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5033-957066.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5034-445356.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5035-291910.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5036-875595.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5037-382786.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-535377.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5039-864511.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5040-456177.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-463341.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5042-426089.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5043-665793.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-463841.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5045-335251.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-595648.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-780916.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5048-884560.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-286737.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5050-307769.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5051-683068.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5052-103125.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-260648.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5054-797312.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5055-952266.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-560423.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5057-345870.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5058-501768.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5059-655215.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5060-854357.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5061-139025.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5062-725025.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5063-854954.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5064-233614.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5065-777498.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5066-418966.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5067-811518.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5068-822577.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-910285.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-750939.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-673210.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5072-698018.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-259583.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5074-607375.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-845666.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5076-825647.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5077-822824.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5078-825179.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-857646.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-450892.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-496889.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5082-359373.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5083-894930.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-701616.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-187286.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-881060.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5087-694725.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5088-762256.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5089-226110.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5090-169699.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5091-507345.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-710505.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5093-596682.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-550242.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-592837.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5096-444630.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5097-938137.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-347107.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5099-510846.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5100-314792.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5101-995834.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5102-947488.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5103-761803.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-501329.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5105-228049.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5106-251852.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-694919.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-755703.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5109-535751.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-799362.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5111-824121.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5112-435322.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-485251.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-197252.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5115-589533.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-819431.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5117-636878.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5118-649267.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-277272.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5120-867945.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5121-849997.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-624958.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5123-937915.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-791526.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-175686.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-289646.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5127-926621.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-842838.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-312429.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5130-459406.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5131-500470.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-933294.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5133-342555.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5134-487975.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5135-978165.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5136-928466.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5137-330854.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5138-585065.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-813836.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5140-476445.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5141-777780.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5142-128206.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5143-811394.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5144-263372.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5145-459506.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5146-744216.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5147-409563.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-192065.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5149-442794.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5150-802191.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-905057.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5152-515598.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5153-217361.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5154-256348.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-991520.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5156-354160.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-724163.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5158-621594.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-140043.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5160-297963.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-513251.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-610044.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-575970.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5164-261904.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5165-161646.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5166-664545.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-833726.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-740473.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5169-569959.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5170-477264.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5171-429298.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5172-732645.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5173-905646.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-478737.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-737484.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5176-968254.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5177-921302.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5178-762351.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-317266.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5180-587735.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5181-229754.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-734445.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5183-550786.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-169044.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5185-768316.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-909649.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5187-240054.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5188-275941.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5189-359554.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5190-594508.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5191-809148.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5192-880872.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5193-693838.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5194-338030.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5195-619584.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5196-227833.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5197-157365.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-566633.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-707841.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5200-905595.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5201-760892.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5202-774133.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5203-309572.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5204-631925.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-737007.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5206-429473.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-136958.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-121949.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5209-368060.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5210-162839.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-122050.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-461391.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-933276.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5214-756967.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-943714.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5216-421654.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5217-710285.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5218-627745.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5219-986158.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5220-588122.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-189641.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5222-643070.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5223-470369.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-565242.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-583154.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5226-637210.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5227-402857.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5228-869196.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5229-275150.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-179515.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-644537.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-788237.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5233-618362.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5234-338309.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5235-626298.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5236-158016.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5237-997904.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5238-507356.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5239-596384.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5240-437435.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-885431.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5242-649075.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-985188.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5244-329535.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5245-103043.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5246-218904.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5247-486523.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5248-432322.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5249-329691.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5250-316668.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-424841.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5252-811781.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-144542.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-680963.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5255-931978.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5256-472680.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5257-998758.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5258-248573.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5259-599240.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5260-189710.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5261-111286.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5262-838678.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5263-830455.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5264-762786.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5265-203140.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-314551.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-921283.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5268-916005.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5269-794411.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5270-742271.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5271-706873.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-419278.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-484675.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5274-120926.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5275-968414.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5276-585515.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-940149.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-565104.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-730939.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5280-766143.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5281-954919.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-372020.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-577391.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5284-856837.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-103561.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5286-100177.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5287-281797.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-192647.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5289-115233.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5290-945233.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5291-771486.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5292-219834.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5293-922044.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5294-181221.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5295-935417.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5296-232094.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5297-833820.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5298-538306.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-589030.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5300-254655.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5301-961637.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5302-378693.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5303-112073.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-112271.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5305-453031.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-293188.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5307-194306.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5308-829613.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5309-909868.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5310-596042.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-192873.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5312-846376.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5313-297783.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5314-821604.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-863898.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5316-564504.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-426298.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5318-251663.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-424759.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5320-978487.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5321-208519.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5322-178710.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5323-944543.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5324-856146.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5325-284732.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5326-699637.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5327-572417.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5328-341200.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-552854.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5330-693655.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5331-933218.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-348983.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5333-858938.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5334-765733.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5335-255810.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5336-896695.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5337-305216.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5338-328095.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5339-952084.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5340-228834.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5341-315010.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5342-553655.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5343-261497.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5344-523097.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5345-725751.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5346-574113.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-242063.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5348-733569.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-328006.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5350-721055.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-662321.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-875512.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5353-431435.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-191764.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5355-358616.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-934005.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5357-238242.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5358-604368.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5359-146100.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5360-985815.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-384283.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5362-592923.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5363-376758.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5364-808785.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5365-509188.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5366-386116.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5367-394526.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5368-951446.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5369-306778.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-659059.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-627879.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-929356.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5373-358833.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5374-572031.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5375-608025.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5376-491966.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5377-670771.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5378-620076.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-764608.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5380-544685.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5381-400302.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5382-519850.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-660637.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5384-133096.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5385-110003.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5386-552226.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-985325.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-192745.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5389-635410.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-994412.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5391-918969.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-346302.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5393-592006.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-740992.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-135940.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-786173.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5397-438891.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-967020.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-653586.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5400-818132.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5401-346302.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5402-467469.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5403-990447.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-628856.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-698719.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5406-673788.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5407-471851.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5408-648543.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5409-255952.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5410-382259.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-829253.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5412-718329.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5413-591698.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5414-262333.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5415-576201.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5416-707846.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5417-115961.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-720188.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-534527.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5420-931139.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-530509.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5422-173391.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-229482.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5424-882590.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-663608.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5426-552635.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5427-753448.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5428-551762.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-739872.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5430-253897.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-372918.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-811753.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5433-231441.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5434-489620.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5435-557650.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5436-516539.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5437-609209.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5438-210927.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-248250.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5440-393112.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-120097.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5442-133154.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-988067.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5444-328249.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5445-909516.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5446-693728.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5447-478443.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5448-121611.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5449-824606.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5450-589721.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5451-642743.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5452-515601.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-461128.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5454-270157.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5455-721220.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5456-180667.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5457-913427.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5458-459177.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5459-537958.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5460-198433.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5461-673539.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5462-647316.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5463-422962.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5464-874366.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5465-611281.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-358250.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-232601.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5468-343987.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-474292.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5470-956969.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5471-393606.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5472-622199.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5473-327645.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-542437.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5475-224213.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5476-860198.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5477-910933.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5478-787150.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5479-693581.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-598016.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5481-622798.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-952196.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-716098.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-627434.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5485-797792.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5486-624011.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5487-281692.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5488-509275.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-602759.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-717927.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5491-180863.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5492-455508.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5493-572044.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-257222.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-349507.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5496-794603.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5497-612918.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5498-250816.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5499-151361.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-713770.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5501-377306.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-613514.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-235671.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5504-594096.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5505-925494.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-753631.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5507-550861.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5508-553266.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-607794.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-701937.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5511-191542.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5512-741263.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5513-816332.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5514-664080.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5515-802698.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-967563.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5517-332442.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5518-156284.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5519-290195.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-893819.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5521-668159.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5522-493370.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5523-114063.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-431338.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-933128.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5526-197305.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5527-116756.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5528-734677.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5529-965442.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-565840.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5531-101264.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5532-439292.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5533-757924.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5534-242124.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5535-159082.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5536-619497.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5537-562189.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-607194.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5539-680195.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5540-741949.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5541-959909.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-801856.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5543-848580.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5544-571734.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-357038.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5546-921221.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5547-999071.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5548-723769.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-270911.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-433561.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5551-921495.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5552-795450.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5553-361457.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5554-892691.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-724024.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5556-513861.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-642753.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-189104.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5559-925556.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5560-108327.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-401010.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5562-490322.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5563-621784.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5564-304761.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5565-953818.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-692324.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5567-202591.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5568-900193.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-223339.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-471826.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5571-465387.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5572-687885.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-344342.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-165932.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5575-169410.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5576-101620.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5577-865711.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-554078.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-585402.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5580-365592.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5581-454252.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5582-637150.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-242124.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5584-120166.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5585-850503.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5586-397589.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-736404.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-941587.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5589-593198.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5590-202239.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-851936.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5592-278537.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-337757.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5594-234173.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5595-681706.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-993312.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5597-297436.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5598-240362.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-582190.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-456285.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5601-983485.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5602-456717.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5603-706550.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5604-695601.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-880768.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5606-203742.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-955420.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5608-701029.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5609-868910.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5610-553481.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5611-115037.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-243167.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5613-947264.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-993114.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5615-159394.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-807656.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5617-503634.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5618-104333.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5619-919395.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5620-800106.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-349100.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5622-383349.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5623-855005.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-825446.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-213089.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-773950.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-820793.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5628-627266.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-429345.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-524581.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-393091.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-125716.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5633-788532.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5634-259086.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-626424.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-417423.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-727339.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5638-639823.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5639-786120.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-361600.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-430368.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5642-423320.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5643-504506.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5644-709678.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5645-461513.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-879981.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-688356.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5648-479536.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5649-567852.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5650-825376.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5651-816577.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5652-955023.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5653-628717.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5654-345425.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5655-332724.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5656-944941.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5657-566054.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5658-646221.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5659-842744.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-459575.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5661-138392.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-444352.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5663-999836.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-166456.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-515777.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-468137.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-246214.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5668-837476.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-268166.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-442405.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5671-498736.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5672-357336.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5673-366090.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5674-615744.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-670805.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-803320.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5677-435185.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5678-661473.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5679-890656.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5680-606694.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5681-204952.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5682-662796.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5683-496452.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5684-975855.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5685-334448.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5686-841215.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5687-442125.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5688-514957.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5689-121992.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5690-362106.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-152249.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5692-233731.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5693-957479.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5694-318707.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-112536.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-972905.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-252621.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-467408.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5699-169566.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5700-787279.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-580174.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-353632.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5703-745782.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5704-944766.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-462032.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5706-834544.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5707-224461.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-672633.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5709-491171.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-638634.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-572297.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-730020.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5713-721774.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-454130.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5715-135365.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-175255.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-200259.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-741717.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5719-831572.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5720-908002.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-758939.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-192378.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-295824.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-684354.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5725-377815.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-860066.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5727-330472.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-104061.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-557567.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-666451.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5731-437026.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5732-879242.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5733-818658.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5734-120791.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-202206.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-542061.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5737-135931.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-769963.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-451455.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5740-970263.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-418777.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-812270.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-861639.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5744-261480.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-892469.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5746-862609.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5747-678531.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-295895.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5749-598705.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5750-518231.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5751-490529.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-776597.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-847227.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5754-498653.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5755-421988.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5756-164209.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5757-894504.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5758-532001.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5759-209100.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-251105.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5761-176155.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5762-118173.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5763-661378.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-456071.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5765-984156.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5766-385849.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5767-895417.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-831293.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-559512.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5770-694921.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-986004.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5772-489987.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5773-906758.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-171547.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5775-425796.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-866864.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5777-699681.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5778-802244.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-159042.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5780-308761.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5781-754940.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5782-884313.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5783-577730.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5784-351690.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5785-655128.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5786-384726.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5787-491936.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-480511.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-228281.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-701709.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5791-221197.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-524007.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5793-530806.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-428816.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5795-519156.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-805436.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-973400.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5798-579442.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-168658.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5800-884666.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-327361.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5802-822221.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-463393.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5804-435802.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-485326.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5806-906581.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5807-142525.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5808-434240.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5809-784323.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-773642.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5811-488788.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-178065.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5813-166807.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5814-650390.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-968889.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-408447.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-522655.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5818-679961.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-915087.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-592810.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5821-465986.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-318656.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5823-430026.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5824-513347.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5825-788025.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-170393.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5827-719882.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5828-507728.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5829-355224.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5830-593508.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5831-814753.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-561177.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-211787.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5834-997574.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5835-246851.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-608629.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5837-125191.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-944684.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-904838.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5840-629048.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5841-416507.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5842-729601.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-261138.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5844-595568.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5845-766580.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5846-510918.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5847-657011.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5848-443962.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5849-915476.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5850-544524.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-428811.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-736869.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-929155.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5854-384145.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-334560.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-874090.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5857-202472.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-323732.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5859-840080.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5860-600052.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5861-846596.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5862-278543.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-170382.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5864-152775.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5865-559271.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-519971.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-161084.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-827471.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-720106.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5870-765501.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5871-609975.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5872-939058.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5873-537220.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5874-739078.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-846169.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5876-113256.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5877-517107.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5878-423295.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-506968.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5880-672213.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5881-138610.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-912184.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-777255.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-146722.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5885-209673.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-689485.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-695231.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5888-768545.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5889-294595.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-168838.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-399339.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-660918.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5893-658553.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5894-467258.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5895-977762.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-318178.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5897-644493.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5898-160353.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5899-373960.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5900-796162.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-585441.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5902-765064.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-453910.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-949223.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5905-534293.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5906-691335.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5907-854360.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-256588.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5909-496074.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-996987.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5911-160111.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-861774.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5913-214392.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5914-280950.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5915-274508.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5916-695515.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5917-657194.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5918-211421.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5919-418164.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5920-267620.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5921-690539.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-626145.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5923-514611.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-953041.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-303856.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-357937.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-427560.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-799886.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-211723.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5930-772205.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-329794.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-770921.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5933-197665.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-385237.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5935-925529.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5936-379669.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5937-968400.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-463877.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-606195.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5940-122674.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-824259.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5942-880835.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-685510.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5944-244535.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5945-361910.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-598909.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5947-941834.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-515778.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5949-467267.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5950-980323.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-269984.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5952-224209.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5953-528591.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-892518.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5955-449132.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5956-475329.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5957-852432.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5958-725214.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-758938.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-411923.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5961-936700.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-302803.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-944840.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5964-144356.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-667659.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5966-305358.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5967-580021.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5968-136784.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-150529.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5970-472391.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-292964.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5972-415530.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5973-395158.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5974-518440.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5975-364270.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5976-138544.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-264947.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-711699.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5979-341459.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5980-471082.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5981-602956.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5982-593549.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5983-385324.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5984-728136.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+5985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5985-466636.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-735685.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5987-921721.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-678088.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5989-902580.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-107297.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-557693.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-105336.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+5993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5993-187740.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-167379.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-253789.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-458531.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+5997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5997-824966.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+5998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-832263.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+5999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5999-404764.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-115994.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6001-124006.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-514988.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-723226.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6004-791241.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-474739.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-489075.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6007-509001.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-192988.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-687876.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6010-398167.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-725913.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6012-598546.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6013-818981.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-459449.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6015-825969.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-296794.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6017-128565.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-243450.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-632325.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-284755.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-956268.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6022-901778.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6023-783099.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6024-421136.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6025-404640.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6026-228564.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-510181.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6028-155864.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6029-322389.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6030-451950.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6031-830569.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-215426.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6033-914788.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-147194.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6035-988094.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6036-531090.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6037-164889.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-587243.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6039-823777.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6040-127074.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-170900.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6042-420733.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6043-153799.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-281653.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6045-371181.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6046-361534.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-829122.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6048-205763.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6049-536016.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6050-343889.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-676413.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-892005.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-965432.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-503605.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6055-599059.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6056-611810.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6057-573341.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6058-457256.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6059-248392.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-588849.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6061-131191.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6062-591470.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6063-851087.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-774960.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-617480.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6066-442903.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6067-857312.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6068-499749.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-681417.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6070-373545.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-530174.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-451554.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6073-965140.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6074-672135.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-179341.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6076-746403.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6077-956448.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6078-354715.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-701128.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6080-205263.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6081-877363.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6082-514726.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6083-358816.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-983359.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-828668.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-949129.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6087-563910.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6088-612935.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-372527.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6090-678044.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6091-774238.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6092-790062.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6093-771367.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6094-753957.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6095-852861.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-951191.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6097-605758.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6098-731166.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6099-388282.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-527302.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6101-467345.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-321091.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6103-705749.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-258416.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6105-122309.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6106-910366.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6107-656759.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6108-498934.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6109-945383.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6110-177011.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6111-982016.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6112-182964.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6113-518870.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-568300.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6115-181630.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6116-456387.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-820883.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6118-886697.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6119-132731.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6120-742079.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6121-564810.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6122-996336.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6123-170983.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-479651.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-556226.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-558183.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-968614.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6128-202163.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-940038.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-168120.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6131-234305.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6132-379661.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6133-886449.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6134-331815.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6135-849974.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6136-828109.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6137-576678.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-784785.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6139-636229.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-291804.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6141-567018.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6142-388928.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6143-851293.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6144-858962.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6145-431411.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-973697.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6147-518939.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6148-598841.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6149-369535.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6150-807733.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6151-830517.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-794240.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6153-181453.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6154-613365.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6155-575654.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6156-455240.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6157-156949.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6158-884812.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-532751.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6160-357169.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-794671.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6162-316665.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-499851.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6164-685237.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6165-133871.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6166-895581.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-460184.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6168-915654.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-666868.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-836137.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-498004.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6172-282301.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6173-649761.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6174-518283.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6175-431094.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6176-707234.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6177-355603.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6178-153491.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-907404.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-567168.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6181-239351.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6182-271913.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-476008.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6184-881983.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6185-632892.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-340283.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6187-102244.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6188-367974.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-605204.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6190-236394.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-601700.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-914181.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-883723.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6194-806971.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6195-294658.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6196-397692.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6197-533441.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-434302.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6199-303269.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6200-591843.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-295737.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6202-715338.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6203-481644.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6204-881931.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6205-289322.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-717635.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-895225.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6208-264049.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6209-934753.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6210-784972.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6211-193824.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6212-509343.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-584362.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-616992.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6215-666741.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6216-259087.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-956344.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6218-681798.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-653533.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-125506.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6221-108217.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6222-346048.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6223-844474.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-849122.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-581968.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-344462.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-596336.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6228-448837.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-634737.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-505199.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6231-740691.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-860694.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6233-562948.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6234-546322.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6235-634933.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6236-623233.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6237-107876.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6238-167855.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6239-294242.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6240-932284.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6241-487962.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6242-841392.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-170730.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-525888.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6245-675530.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6246-165679.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6247-300717.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6248-644461.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6249-721948.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6250-389810.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6251-633116.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-941996.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6253-498293.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6254-629697.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6255-538417.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6256-217137.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6257-605953.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6258-426360.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-603689.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-413341.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6261-547476.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6262-397046.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6263-270320.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-472391.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6265-668180.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6266-611176.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-394600.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6268-295043.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6269-307565.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6270-233649.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-383547.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-872077.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6273-689237.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6274-817695.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-612493.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6276-270608.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-778641.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-288148.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6279-793328.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6280-963110.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-487106.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6282-107416.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-206517.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6284-707389.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6285-948813.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6286-486758.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6287-637778.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6288-746278.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6289-559750.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6290-999366.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6291-719168.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6292-609217.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-841917.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-194192.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-198385.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6296-521108.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-372612.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-274330.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6299-908493.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6300-257387.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6301-286161.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-413102.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6303-617265.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-767593.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-669337.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-931672.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6307-109576.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-470923.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-523319.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6310-573169.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6311-519253.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-142233.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6313-421770.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6314-930202.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6315-521838.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6316-118524.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-502403.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-226225.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6319-293782.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6320-374216.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6321-184858.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6322-181453.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6323-546481.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6324-764911.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-860502.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6326-728491.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-645831.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-470629.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-931239.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6330-332762.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6331-854646.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6332-539703.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6333-673780.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6334-458338.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6335-554093.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6336-735095.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6337-664518.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6338-740492.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6339-863073.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6340-383321.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6341-718932.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6342-167041.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6343-994935.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-947059.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6345-793114.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-667321.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6347-301616.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-325338.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6349-764334.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6350-325779.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6351-104730.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6352-431885.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6353-885778.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6354-738014.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-153690.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6356-753240.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6357-808410.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-355426.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-510449.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6360-674341.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6361-678574.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-256610.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6363-912540.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6364-253805.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6365-521113.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-765612.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-431240.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6368-358094.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6369-676214.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-486151.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6371-825997.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6372-617573.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6373-962134.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6374-764981.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-193363.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6376-197478.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6377-402315.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-418251.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6379-192109.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6380-934331.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-385984.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-388318.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6383-492106.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6384-508463.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6385-235354.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6386-440620.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6387-649517.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-738038.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6389-667006.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-259290.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-210765.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6392-478415.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6393-893750.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6394-507340.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6395-662084.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6396-133496.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-396059.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6398-110474.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6399-202260.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6400-876811.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-409338.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6402-940890.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-973532.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6404-154532.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6405-320834.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6406-730071.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6407-192617.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6408-693392.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6409-976837.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6410-105615.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-633042.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-348166.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6413-227883.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6414-315089.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6415-859635.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6416-146662.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-957525.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-899898.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6419-938593.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6420-378532.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6421-417179.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6422-433200.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-473593.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6424-391543.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6425-850698.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6426-347070.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-962796.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-481186.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6429-598800.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6430-969565.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6431-751106.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-718053.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-983219.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6434-519022.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6435-209769.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-311145.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6437-433238.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6438-232144.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-983950.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-834365.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-485634.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-127656.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6443-126275.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6444-740286.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6445-292758.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6446-773047.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-939665.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6448-390370.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-979096.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6450-701657.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-475412.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-125247.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-232816.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-109718.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-113737.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-579430.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-560552.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6458-758583.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-450624.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-812944.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-956950.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-261336.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-704780.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-451051.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-378007.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-303209.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6467-172842.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6468-758349.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6469-179805.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6470-570924.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-950882.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6472-498501.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-667615.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6474-678656.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-875085.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6476-944595.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6477-108969.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6478-983039.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-636441.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6480-907756.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-893053.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-707372.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6483-186051.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-908420.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-910674.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6486-748115.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-385484.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-528643.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6489-749090.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6490-268527.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6491-897872.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6492-453473.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6493-443307.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-775500.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6495-675833.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6496-543544.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-893154.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6498-798925.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6499-653177.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6500-883316.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6501-250264.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6502-879233.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6503-776916.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6504-909903.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6505-452139.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6506-643475.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-686598.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6508-134083.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-258080.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-165915.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-642790.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-378523.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6513-303406.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-816893.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-827588.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6516-429283.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6517-176528.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6518-820265.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6519-210981.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-973008.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6521-248579.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-812021.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6523-766298.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6524-638839.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6525-727186.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-622766.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-196029.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-598746.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6529-449168.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6530-832499.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6531-542310.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-735476.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6533-347076.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6534-265966.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-176346.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6536-402998.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6537-592904.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6538-232642.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6539-771392.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-328882.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-680632.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6542-616785.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-586857.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6544-206664.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-698595.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6546-608844.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6547-494156.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6548-229781.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-455374.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6550-113634.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-438609.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6552-430503.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-846946.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6554-599606.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6555-145462.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6556-219300.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-719625.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-425649.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-216649.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-305210.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-177137.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6562-431256.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6563-330990.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6564-511738.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6565-927074.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6566-248642.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6567-501677.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-544220.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6569-764931.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6570-298069.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6571-966455.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-388375.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6573-594092.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6574-954644.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6575-969217.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6576-728817.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-720046.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6578-556863.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6579-178430.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6580-638841.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6581-111510.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-226142.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-225073.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-125884.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6585-971001.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-317023.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-322922.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6588-787085.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6589-342570.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-982724.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6591-829621.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-470938.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-121874.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-933412.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-970572.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6596-636182.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6597-229711.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-496402.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6599-260293.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-686899.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-478946.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6602-891356.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6603-557416.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6604-279435.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6605-271130.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6606-764181.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6607-193248.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6608-813808.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6609-521277.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6610-340345.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-800939.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6612-958286.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6613-479033.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-456179.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-360498.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6616-852829.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-579192.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6618-206349.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-868881.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6620-991463.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-555600.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-909157.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-615919.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6624-366222.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-379216.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-182617.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-216806.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6628-105484.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6629-300570.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6630-675030.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6631-348006.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6632-830133.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6633-258275.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-864569.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6635-651628.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-629977.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-330452.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-408505.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-951595.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-257468.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6641-969074.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6642-187575.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-436755.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-308437.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-381313.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6646-928661.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6647-418098.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-520767.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-454432.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6650-602606.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-591840.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-549239.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-729337.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-339934.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-379637.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6656-326625.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6657-929496.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-785018.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6659-388248.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6660-472422.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6661-658867.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6662-112541.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-565330.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-442870.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6665-565281.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6666-492620.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6667-638831.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6668-701417.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6669-107224.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6670-969947.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-292265.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-417119.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6673-126200.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6674-798496.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-701346.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6676-129829.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6677-232710.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-327719.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-593951.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-908212.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6681-572036.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6682-345396.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-254029.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6684-823650.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-873464.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6686-274429.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-106807.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6688-460912.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-735929.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-923599.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6691-640843.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6692-861135.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6693-188340.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6694-612554.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6695-681506.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-414967.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-170625.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6698-762197.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-912917.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6700-311774.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6701-307198.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6702-582320.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-241398.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-956169.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6705-641363.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6706-230750.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6707-325649.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-109194.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-475682.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6710-542741.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-445439.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-688566.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6713-473834.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-391496.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6715-768016.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6716-668231.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-918842.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6718-381020.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-173244.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-825428.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6721-192812.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6722-564004.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6723-381907.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-952605.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6725-411228.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-353775.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-856248.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6728-904581.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6729-148146.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-891457.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6731-936172.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6732-862913.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-672755.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6734-416001.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-960156.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6736-355733.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6737-945551.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-991373.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-214095.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-524919.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6741-750391.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-282210.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6743-180805.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6744-479522.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-606718.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-313663.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6747-925842.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-767767.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-194211.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6750-821515.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-183064.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-132493.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6753-656968.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6754-545805.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6755-361951.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-224622.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6757-910585.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-290427.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6759-823499.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6760-881050.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-445201.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6762-448771.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6763-177039.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6764-802263.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6765-537924.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6766-617968.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-138767.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6768-316382.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-679650.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6770-323547.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-881400.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6772-841652.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6773-507384.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-447647.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-904726.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6776-198112.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-327417.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6778-444891.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-427667.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6780-292190.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6781-736301.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6782-845580.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-344134.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6784-879646.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6785-302390.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-424442.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6787-709654.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6788-253209.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-640095.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-112532.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-133260.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-858097.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6793-207309.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-297889.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-533263.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-732428.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6797-693026.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-851793.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-767187.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6800-141856.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6801-262112.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6802-472735.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-309191.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6804-225306.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-825174.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-275278.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6807-678086.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6808-944183.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-358944.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-307210.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6811-146674.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6812-477539.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-762034.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6814-994435.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6815-728416.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-316021.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6817-187988.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6818-238882.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6819-935139.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6820-901070.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6821-637216.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6822-876548.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6823-767647.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-301241.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-521739.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6826-856182.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6827-320600.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-997523.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-841072.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-363053.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-958885.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-678190.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6833-451285.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-384283.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6835-235204.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6836-734983.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6837-129076.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-129053.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-359144.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-252913.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-148315.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6842-313585.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6843-117401.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-801375.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-832970.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6846-768576.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6847-628503.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6848-667096.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-852164.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6850-517931.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-376749.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-616795.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-215363.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-787586.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6855-504933.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6856-543382.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6857-946089.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6858-236975.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-708871.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6860-603473.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-548177.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-770054.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6863-638168.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-965409.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-149294.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-357824.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-530861.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-446124.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6869-231666.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6870-813571.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6871-944433.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-659685.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6873-407998.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-565464.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6875-120723.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-773135.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-839260.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6878-713415.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-112069.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-379414.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-395880.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-763422.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6883-183458.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6884-517714.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6885-788459.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6886-464979.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-428181.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6888-128677.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6889-969017.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-846411.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-418170.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-674285.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-831620.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-945008.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6895-702547.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6896-632067.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-940482.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-890044.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-205080.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-165317.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6901-402897.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-311527.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6903-178432.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6904-192003.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6905-486538.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-911347.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-270690.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-255265.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6909-671178.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-395812.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6911-446390.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6912-331151.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-982123.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-614155.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6915-265757.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6916-300668.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-882305.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6918-764943.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-717769.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6920-247958.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6921-848866.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-291497.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-317983.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6924-354180.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-872503.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-605253.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-865213.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-628619.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-891253.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6930-593071.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6931-939349.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-670550.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6933-799782.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-870519.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-490984.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-580335.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-119892.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6938-423712.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-712711.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6940-516698.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6941-930627.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-595992.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-382037.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6944-310583.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6945-879371.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-171883.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-459544.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-930909.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-994443.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-661925.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-487115.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-706113.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-336523.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6954-123849.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6955-605794.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6956-898525.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6957-204776.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-308079.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-599087.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6960-354363.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-676070.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-313145.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-195014.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-251814.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-154957.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-514997.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6967-805984.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-309911.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-822816.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6970-788555.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6971-114773.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-348493.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-892153.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6974-550889.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6975-798419.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6976-696135.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-555338.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-984058.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-145983.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6980-123484.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6981-450720.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-707137.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6983-189504.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-613471.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-839128.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6986-613420.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6987-814859.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6988-414444.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6989-192384.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+6990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6990-454955.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-888216.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6992-749794.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-612905.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-989147.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6995-448416.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+6996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6996-977503.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+6997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6997-979395.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+6998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6998-707334.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+6999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6999-303082.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7000-938899.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-345738.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-716436.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7003-844890.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7004-396926.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7005-362785.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-594098.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7007-715936.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-367483.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-137383.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7010-227388.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7011-937356.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-535427.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7013-831419.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7014-440814.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-655321.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7016-665699.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-858820.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7018-273549.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7019-109920.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7020-705707.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7021-639699.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7022-248359.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7023-936779.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-693953.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-636475.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-895372.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7027-392479.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7028-875758.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7029-883793.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-491062.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-897521.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7032-157617.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-723353.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-469101.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7035-757717.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7036-745514.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-709315.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-825926.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-132689.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-648152.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7041-498543.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7042-785885.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-100415.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-782990.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-879416.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-953010.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7047-690929.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7048-212580.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7049-886005.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-214752.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-983877.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7052-962933.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-812518.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7054-251234.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-705973.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-560298.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-740792.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-354586.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-434629.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7060-850565.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-788484.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-926953.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-407644.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7064-737351.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7065-766173.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-535923.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-599578.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-944679.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7069-958552.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7070-911024.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-444187.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-669616.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-273773.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-914742.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7075-855199.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7076-278155.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-545206.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-728510.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-772892.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-738431.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7081-547800.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7082-607103.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7083-293626.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-343340.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-753598.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-915470.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7087-830285.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7088-761845.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-606340.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7090-495816.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-440338.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-970062.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7093-923855.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-253590.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-154965.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-903086.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-527909.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-106106.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7099-402708.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-134864.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-283974.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-693490.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-330906.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-776136.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-541412.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-960856.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7107-178443.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7108-311508.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7109-753482.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7110-364982.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-912080.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7112-887135.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-269789.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7114-720278.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7115-995717.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-438040.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7117-750995.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7118-391241.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7119-500603.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-854582.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7121-219123.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7122-474962.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7123-194391.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7124-173915.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-616282.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7126-684436.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7127-636474.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7128-467197.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-434095.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7130-888259.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7131-207885.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-675976.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7133-119087.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-192844.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7135-278832.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-664620.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-257739.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7138-465719.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-157078.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-668017.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7141-874242.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7142-104856.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7143-895045.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-602914.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-240645.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7146-754147.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-312595.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7148-880896.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7149-946881.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7150-562169.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7151-827803.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7152-315751.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7153-807223.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-482930.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7155-228175.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7156-627162.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7157-641711.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7158-104025.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7159-734704.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7160-541831.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7161-970292.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-862905.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7163-116378.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7164-383928.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7165-814112.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7166-285729.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7167-181165.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7168-667980.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7169-960833.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7170-143013.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7171-991914.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7172-598276.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-351662.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7174-703828.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7175-967309.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-794139.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7177-385622.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7178-875286.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7179-796145.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-514270.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7181-962600.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7182-889184.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-896085.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-442839.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-952862.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-338673.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7187-257502.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7188-853506.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-875041.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7190-996398.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-440000.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-646582.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7193-400288.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-306159.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7195-535081.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7196-498970.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7197-562469.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-161156.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7199-706945.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7200-280487.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-556800.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7202-902175.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-635688.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-440743.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7205-813914.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-234056.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7207-172708.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7208-123847.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-735687.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7210-650066.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7211-276172.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-928891.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7213-464942.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7214-931129.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7215-724021.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7216-654250.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7217-829827.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7218-652910.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7219-796111.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7220-682201.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7221-517886.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7222-463875.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-864701.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-788683.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-941544.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7226-377690.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7227-519846.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7228-831182.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7229-204258.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7230-938116.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7231-221357.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7232-995835.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7233-275702.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7234-280151.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7235-582300.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7236-874274.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7237-927044.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7238-634677.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7239-781442.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-381812.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7241-518822.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7242-953934.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-641660.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-586332.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7245-170646.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-273139.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7247-351364.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7248-912127.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7249-129949.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7250-584251.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7251-322782.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-116888.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-995296.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7254-290863.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-983427.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-656948.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-887783.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7258-628066.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-495585.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-622123.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-696902.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-209248.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-367960.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-340120.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-329388.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7266-392989.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7267-859206.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-911780.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7269-570364.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-164573.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-792678.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-149247.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7273-234576.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-448699.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-881801.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7276-388437.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7277-580405.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7278-337534.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-264981.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7280-743095.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7281-800651.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7282-795469.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7283-526007.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-232430.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7285-838320.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7286-929381.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7287-281894.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-951629.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-256503.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7290-444968.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7291-472304.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-777342.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-378002.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7294-869957.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7295-894124.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7296-215695.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7297-215695.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7298-618386.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-207966.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-819301.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7301-937910.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7302-683612.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7303-254238.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7304-286841.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-857728.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7306-387481.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-134950.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-352835.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7309-151923.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-910130.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-140360.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-927539.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-748252.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7314-573270.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7315-739564.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7316-412680.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-144071.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7318-217899.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7319-804845.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7320-292273.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-662861.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-608980.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7323-720373.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-344726.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-733178.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-149421.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7327-431401.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7328-926428.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-639288.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7330-388911.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-650013.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7332-504248.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-390039.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-819192.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-625243.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7336-912631.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-783876.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7338-206108.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7339-343741.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7340-209753.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-154058.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-447774.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7343-146223.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7344-748735.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-606570.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7346-847836.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-787486.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7348-311915.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7349-428610.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7350-432627.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-246538.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-998334.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-161148.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-301323.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7355-805386.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7356-708088.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-677459.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-521376.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7359-671052.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-897899.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7361-335675.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7362-211466.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7363-942005.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7364-759618.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-330730.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7366-866050.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7367-152872.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7368-897054.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7369-206778.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7370-442144.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7371-703451.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7372-159649.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7373-660528.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7374-486020.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7375-596882.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7376-873792.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7377-602406.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7378-370599.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-161122.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7380-136847.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7381-542345.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7382-534644.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-617244.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-874332.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7385-413492.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-731826.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7387-444386.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7388-429982.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7389-352054.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7390-672252.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7391-419263.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-843673.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-256891.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7394-665033.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-209831.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7396-520740.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-471745.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7398-722327.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7399-378284.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7400-735626.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7401-891531.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7402-469332.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-140065.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7404-332228.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-978919.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7406-455761.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7407-370864.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-476001.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7409-487083.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7410-979307.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-238400.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-986883.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-113061.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7414-381417.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7415-693999.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7416-381054.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7417-739497.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7418-655064.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-845669.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-100846.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7421-457082.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-106859.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7423-648666.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7424-222975.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7425-220697.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-558103.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7427-289794.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7428-116532.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7429-607576.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7430-443414.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-878148.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-425613.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7433-651400.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-562096.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-364232.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-660899.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7437-126804.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7438-743692.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7439-293135.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7440-123792.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7441-342326.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-256474.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7443-238564.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-467309.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-437615.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7446-747033.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-942357.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-361551.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-580430.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7450-638446.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-616732.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-138435.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-219263.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-897487.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7455-940666.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7456-723754.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7457-261138.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7458-125129.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-388016.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7460-833587.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-887169.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-537987.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-206722.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7464-991958.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7465-553574.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7466-326204.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7467-877401.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7468-653217.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7469-828999.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7470-256127.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7471-153363.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7472-769105.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-931561.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-695144.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7475-686515.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-572752.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-936956.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-203577.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-213476.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7480-837483.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-503453.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7482-284470.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7483-439295.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7484-143029.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7485-179863.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7486-580967.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-864089.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7488-107509.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7489-205130.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7490-300579.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-960093.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7492-561690.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-373805.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7494-101210.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-977781.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7496-313013.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7497-480914.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-945094.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7499-826704.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7500-664476.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-660159.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7502-285853.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7503-191326.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7504-223335.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7505-248865.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-923173.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-474549.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-342392.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-707637.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7510-249564.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7511-161556.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7512-675473.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-531272.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7514-439425.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-258406.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-859966.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-275675.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7518-235209.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7519-487300.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7520-520860.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7521-834504.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-518710.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7523-112721.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7524-467301.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7525-736793.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7526-825432.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-503786.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7528-528150.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-986906.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7530-228680.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-262097.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-246331.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-564248.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-330093.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7535-546523.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7536-983440.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-185290.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7538-860463.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7539-685027.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7540-294325.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7541-483814.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-365993.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7543-731097.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7544-322958.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7545-922506.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7546-203016.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7547-972056.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7548-575574.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7549-521994.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-672303.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7551-653303.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7552-769739.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7553-154362.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7554-348003.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7555-336266.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7556-388397.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7557-563726.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7558-657420.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7559-372927.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7560-279439.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-402443.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-347278.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-320288.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-585585.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7565-535894.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-488865.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7567-547447.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7568-137832.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7569-218816.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-128790.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-531449.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7572-962500.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7573-135618.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-467365.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7575-487577.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-367198.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-631446.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7578-284942.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7579-944304.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7580-830821.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7581-982597.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7582-413703.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-163672.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7584-851553.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-912262.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7586-369654.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7587-180975.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7588-200269.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-779000.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-836698.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-290271.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7592-184037.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-612448.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7594-676507.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7595-104812.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7596-453829.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7597-806677.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7598-172543.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-835075.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7600-903508.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-113302.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7602-211940.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7603-356631.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-960455.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-620571.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7606-202742.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7607-475972.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7608-428223.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7609-201524.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7610-605329.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7611-765561.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-281407.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-230297.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7614-718846.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7615-229106.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-577233.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7617-167140.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-351979.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7619-693100.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-483582.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7621-715686.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-625625.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-448058.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7624-464490.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7625-701466.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7626-848020.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-535951.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-668874.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7629-794169.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7630-146750.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-912022.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7632-490015.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-778796.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7634-183260.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-743592.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7636-635824.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7637-747404.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7638-829741.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-321899.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-440947.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7641-451233.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7642-766326.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7643-806828.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-317930.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-453816.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-312645.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-963091.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7648-702779.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7649-509272.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7650-543139.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-758774.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7652-361860.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-872109.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7654-751924.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-633644.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7656-129445.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-103088.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7658-599575.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-791188.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7660-563152.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7661-119002.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-364906.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7663-508386.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7664-520873.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-912188.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-515649.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-656981.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7668-732421.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-899816.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7670-999964.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-323069.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-993295.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7673-525287.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-898277.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7675-300438.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-795521.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7677-153921.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-367772.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7679-243460.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-160038.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7681-802227.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7682-449617.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7683-625208.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7684-753546.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7685-333334.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7686-225559.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-211592.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7688-535320.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7689-645714.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7690-302549.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7691-370400.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7692-531965.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7693-206330.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7694-635916.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-513913.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-783704.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-199620.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-794011.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7699-994515.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7700-765161.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-886559.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7702-606862.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-404917.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-508641.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7705-218947.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-834961.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7707-525448.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7708-221801.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7709-452211.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7710-159707.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7711-150661.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7712-891617.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7713-658017.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-854148.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-466237.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-346522.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7717-418826.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-851119.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7719-680435.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-967282.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-282508.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7722-424417.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7723-723812.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-120090.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7725-749352.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7726-628238.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7727-461303.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7728-289712.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7729-509648.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-353044.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7731-973344.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7732-470099.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-161206.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-754163.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-818420.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-133795.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7737-509607.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7738-487487.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-512392.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-910720.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-349864.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7742-956741.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-752113.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7744-242624.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7745-248507.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-745328.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-346940.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7748-538435.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7749-905005.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7750-912816.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7751-248568.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7752-781560.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7753-454294.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7754-471942.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-840476.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-365268.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-805831.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7758-416228.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7759-672977.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7760-743030.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-188865.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7762-202116.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7763-987588.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7764-996758.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7765-635501.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7766-628402.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-192874.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-478193.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-457322.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-903246.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7771-183798.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-748244.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-579350.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7774-656050.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-700330.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7776-948122.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-650842.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7778-437717.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-672178.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7780-225441.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-124126.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-763678.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7783-613282.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7784-608482.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7785-610931.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7786-125181.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7787-554787.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7788-828063.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-302473.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-556495.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7791-380386.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7792-226525.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7793-359772.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-108194.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7795-609323.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7796-305869.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-384346.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7798-504536.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7799-513356.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7800-105279.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-629076.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7802-206685.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7803-484545.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-599099.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7805-548675.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-567021.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-454033.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-792333.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7809-744952.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7810-918787.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-379613.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-592614.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7813-428823.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-593694.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-445150.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7816-132315.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-556653.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7818-561837.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7819-458631.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7820-674170.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7821-238021.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7822-119014.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7823-755959.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-794227.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7825-371425.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7826-949601.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7827-308216.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-337376.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-613313.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-119162.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7831-933407.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7832-295350.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-987499.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-705004.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7835-226847.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-300240.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-596047.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-595737.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7839-303862.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7840-659196.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7841-804352.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-423728.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7843-851555.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-200842.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7845-165802.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-459610.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-993027.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-898248.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7849-616285.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7850-250010.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7851-312278.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7852-222197.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7853-261912.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7854-881707.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-728370.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7856-512596.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7857-711731.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7858-777627.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7859-604034.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7860-882662.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7861-941648.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-616322.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-421830.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7864-353197.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7865-173461.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-865755.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7867-495985.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7868-132857.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7869-298997.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7870-877529.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7871-959111.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7872-914976.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7873-145923.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7874-435313.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7875-751519.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7876-585186.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7877-479830.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7878-871937.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-975074.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7880-601230.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7881-693924.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7882-997929.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7883-585628.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7884-551657.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-854186.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7886-638724.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-901735.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-243558.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7889-878978.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7890-289405.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7891-494514.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7892-595342.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7893-454182.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7894-279133.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-332770.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-453843.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-942064.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-949382.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-708760.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7900-192969.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7901-694354.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-729464.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7903-211965.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7904-506147.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-901927.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-456901.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7907-118029.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7908-712024.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7909-931751.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7910-384746.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-498219.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7912-264437.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-655976.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7914-572623.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7915-189737.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7916-707621.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7917-289917.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7918-629009.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7919-154441.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7920-248493.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-115412.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7922-617287.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7923-365173.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-310427.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7925-451549.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-548282.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-109783.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7928-910570.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-935951.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-988657.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-828193.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7932-701885.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7933-507365.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7934-902647.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-330912.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7936-403779.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7937-935197.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-675813.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7939-898477.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7940-913305.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7941-448672.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-901254.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7943-231850.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7944-288932.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7945-819233.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7946-367329.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7947-754676.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7948-278908.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7949-866381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7950-419073.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7951-241245.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7952-789921.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7953-895217.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-378281.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-644724.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7956-666246.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-830528.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7958-337658.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-465412.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-969224.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7961-165800.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7962-864119.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7963-783075.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-186426.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7965-682371.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-744666.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-488508.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-696434.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7969-182034.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7970-382175.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7971-993759.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-728787.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7973-981700.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7974-761337.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-242131.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7976-827009.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7977-314461.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7978-620349.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7979-987240.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-995919.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-560188.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7982-476895.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7983-834246.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7984-533030.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7985-954202.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7986-845609.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-625484.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-480552.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7989-485845.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-878515.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-487429.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+7992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7992-595601.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+7993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7993-208384.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+7994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7994-172840.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+7995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-852662.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7996-216673.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7997-274429.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7998-528051.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+7999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7999-185357.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-178033.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8001-122762.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8002-915924.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8003-301671.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-417435.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-198753.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8006-983692.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8007-302446.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8008-763160.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8009-612181.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8010-286240.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8011-140855.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8012-234932.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-316314.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8014-550014.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8015-698084.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-844841.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8017-701010.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-519508.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-277725.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8020-295715.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-150369.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8022-223465.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8023-309545.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8024-992516.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8025-825923.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8026-175191.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8027-389297.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8028-954823.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8029-411668.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8030-322783.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8031-217546.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8032-291319.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-930425.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8034-508629.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8035-831336.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8036-360992.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8037-680161.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-363955.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8039-122474.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-940240.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-516607.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8042-135595.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8043-731822.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-706347.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-653235.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8046-256188.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8047-562702.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8048-375310.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-116441.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8050-439026.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8051-220397.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8052-927272.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-812028.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-104489.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-992236.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-156010.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-823738.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-471216.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8059-243597.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-808184.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8061-357262.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8062-969015.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-941770.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-756963.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8065-636646.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8066-743491.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-128093.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-226805.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8069-922547.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-500507.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8071-101971.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-719649.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-873095.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-421095.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8075-648631.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-993290.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8077-397864.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-540326.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8079-103623.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8080-370519.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8081-178714.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8082-348409.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8083-266113.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-538578.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8085-478264.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8086-428616.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8087-753979.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8088-403521.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8089-161597.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-188576.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-956627.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8092-670642.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8093-657711.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8094-814676.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8095-923512.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8096-245287.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-466076.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8098-408186.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-945289.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-650412.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-944734.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8102-906103.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-291353.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-974557.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-695369.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8106-213255.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-939462.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-597800.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8109-490981.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-246834.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-201348.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8112-716286.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8113-543306.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-662081.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-831822.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-155976.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-922793.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-653866.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-821396.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-379770.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8121-593183.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-214354.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8123-842887.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8124-501704.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8125-875532.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8126-304885.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-856644.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8128-815990.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-638313.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-834633.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8131-224456.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-668782.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-820909.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8134-722985.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8135-591500.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8136-500986.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8137-805899.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8138-178874.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8139-297092.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-137971.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-673399.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-871258.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-750898.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-949381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8145-571158.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-587883.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8147-617598.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8148-930775.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-433667.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8150-311752.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8151-155234.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-905709.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-643496.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8154-158482.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8155-528620.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8156-635721.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-805711.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8158-178721.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8159-805560.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-154493.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8161-753346.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8162-245051.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-583464.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8164-764997.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8165-287306.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-595936.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-134570.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-884837.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-566216.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8170-273831.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-930575.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8172-279633.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8173-346115.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-574794.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-895519.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-373665.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-593545.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-532392.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-621717.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-957512.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-531465.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8182-221438.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8183-915308.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-282043.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8185-772012.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8186-321920.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-856421.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8188-987468.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-653530.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-274642.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8191-135255.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-683638.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8193-858803.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-334127.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8195-737815.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8196-152228.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8197-243479.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-891128.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-495370.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8200-476121.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-177500.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-554804.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8203-252344.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8204-569242.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8205-696781.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-753747.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8207-604198.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8208-489460.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-773528.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-341085.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-974162.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-831656.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8213-485915.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8214-371732.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8215-842454.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-522594.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8217-261119.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8218-536145.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-922920.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8220-446440.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8221-602143.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8222-153867.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-174562.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8224-594573.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-155630.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-366266.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8227-141782.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-249048.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-869991.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8230-352232.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-968341.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-849665.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-236582.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-987600.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-777562.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-664043.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8237-194746.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8238-561026.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8239-929973.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8240-699231.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8241-724831.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8242-323219.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8243-783837.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8244-717708.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8245-423561.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-229404.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8247-251105.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8248-579503.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-326131.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-563129.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-759675.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-574457.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-974370.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8254-313219.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-283230.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8256-997540.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-849974.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8258-863769.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8259-706475.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8260-166582.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8261-371914.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-559809.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8263-492378.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8264-323222.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8265-740111.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8266-793518.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8267-481444.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8268-901269.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-751565.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8270-605020.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-397572.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8272-376059.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-670537.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-922309.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8275-940797.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-441992.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8277-236315.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8278-630996.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8279-893931.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-665086.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8281-508420.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-969319.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-470480.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-652844.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8285-849038.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8286-588381.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8287-149915.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-580189.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8289-843974.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8290-245851.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8291-534782.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8292-544175.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8293-678595.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8294-537241.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8295-996640.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8296-340858.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8297-828575.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-405611.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-570933.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-879971.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-363112.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-309416.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8303-230661.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8304-712301.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8305-154888.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8306-444372.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-823150.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-425721.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-187876.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-514136.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-751403.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8312-972283.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8313-643735.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-788008.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8315-659713.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8316-264111.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8317-960912.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-646333.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-383986.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8320-251596.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8321-420029.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8322-753559.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8323-127191.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8324-736063.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-269355.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8326-156303.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-942216.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-728618.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-402846.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-821559.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8331-405731.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8332-738528.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-771586.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-353222.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8335-556065.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-999896.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-484534.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-922894.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8339-860104.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8340-346314.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8341-668877.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8342-385939.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-179725.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-964934.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8345-770680.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8346-685859.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8347-114159.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-571583.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-713075.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-746564.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-839178.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8352-481966.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-588750.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-209868.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8355-178721.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8356-847697.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8357-765622.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8358-518788.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-394799.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-180013.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-103155.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8362-798277.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-470681.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8364-747339.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8365-518390.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8366-379878.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-833776.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-436806.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8369-681194.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8370-250436.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-286996.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-709906.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-159472.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-807887.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-410156.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8376-122528.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8377-885333.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8378-156694.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-759876.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-876891.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-665639.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8382-366881.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8383-154155.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8384-804715.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8385-894068.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8386-735752.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-566408.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-556111.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8389-756610.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8390-551714.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-312653.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-508563.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-686599.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-673085.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8395-629954.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-849058.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8397-656206.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-334657.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8399-906631.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-407643.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-256860.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8402-545288.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-146827.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8404-126389.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-274780.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-715840.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-596398.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8408-391299.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8409-408182.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8410-555644.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-659258.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-105184.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8413-405127.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-361944.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8415-406447.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-753906.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8417-555815.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8418-132165.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8419-914912.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8420-338041.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8421-432880.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8422-238762.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-170386.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-980237.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8425-877042.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8426-529962.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-377971.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8428-148422.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8429-661542.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8430-529034.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-923734.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8432-178385.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8433-219903.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8434-596628.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8435-218574.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8436-981696.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-522414.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-960394.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8439-212520.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-252249.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-482955.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-469126.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8443-904128.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-383280.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8445-713515.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8446-597857.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8447-443439.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-198077.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-610913.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-117300.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8451-571438.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-533257.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8453-683369.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-954820.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8455-586877.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8456-949940.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-316844.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8458-951553.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8459-575484.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8460-924796.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8461-626529.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-347482.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8463-184028.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8464-643659.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-914343.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8466-456393.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8467-649797.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-486488.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-692396.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-122405.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8471-657551.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8472-815287.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8473-433671.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-749606.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-360743.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-790816.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-304927.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8478-552237.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8479-242418.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8480-226157.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8481-215046.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-101684.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8483-896814.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8484-794117.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-334061.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8486-975514.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-936742.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-205983.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-963777.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8490-835990.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8491-839415.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8492-644495.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8493-200069.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8494-953144.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-387989.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8496-769710.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8497-999674.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8498-151697.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-467240.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8500-383759.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8501-591350.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8502-320725.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-140738.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8504-204200.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8505-886532.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-919201.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8507-988620.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-580934.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8509-607269.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8510-190598.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8511-815246.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-143256.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-644661.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-803276.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8515-383582.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8516-317259.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-274884.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-705567.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-350980.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-680992.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-682338.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8522-823491.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8523-794743.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8524-686685.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8525-725888.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-335582.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8527-818103.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8528-183766.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-878421.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-361568.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8531-450316.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8532-607657.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-874921.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-151323.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-980376.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8536-655969.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-661512.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-222290.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-197576.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-658761.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-207900.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-118579.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8543-604845.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-551053.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-620911.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8546-296588.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-140696.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8548-324983.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8549-953759.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-953427.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8551-780560.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8552-289203.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8553-817942.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-380168.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8555-536065.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8556-568659.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-158191.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8558-909796.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8559-761119.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-337075.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-902053.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8562-844179.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8563-912469.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-269058.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-428255.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-440995.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-643562.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8568-933558.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-985651.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-598831.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8571-710321.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8572-671041.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-190663.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8574-375311.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8575-338839.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8576-673725.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-994130.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-591401.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-512765.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-707581.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8581-570855.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8582-343502.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8583-221763.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8584-487971.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8585-444480.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8586-277626.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-280746.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8588-294018.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8589-964759.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8590-339179.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-984454.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8592-850626.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8593-762044.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-675423.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-946574.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-452481.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8597-358660.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8598-930336.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8599-759635.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-471622.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8601-932656.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8602-318321.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-859590.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8604-320440.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-336611.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-977035.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8607-263111.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8608-345966.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-596753.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8610-481985.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-325114.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-629405.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8613-606280.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8614-352982.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8615-865536.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8616-516380.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8617-184080.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-171255.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8619-179747.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8620-479634.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8621-891931.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8622-344767.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-763948.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8624-442406.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8625-909494.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-829535.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-971406.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8628-172080.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8629-426499.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8630-209632.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8631-259660.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8632-536503.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-515765.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8634-733501.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8635-230431.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8636-460844.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8637-287303.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8638-308063.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8639-743245.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8640-610093.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8641-282153.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8642-234051.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8643-782525.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8644-502165.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-351774.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8646-125096.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-978907.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8648-228563.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8649-980813.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8650-193183.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-777349.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8652-625978.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-481021.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8654-945571.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8655-629616.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-366208.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-821972.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8658-755395.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8659-558176.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-120020.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-630314.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-130504.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8663-722281.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8664-975895.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-820366.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8666-466623.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8667-285978.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8668-843834.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-124540.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8670-404936.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8671-956819.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8672-598497.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-462150.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-233822.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-840896.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8676-104102.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8677-634745.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-620844.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-905503.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8680-898679.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8681-828997.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8682-657703.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-264482.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8684-688951.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8685-945278.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8686-900715.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8687-867029.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8688-867268.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8689-180596.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-487291.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8691-824525.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8692-536340.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8693-792440.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8694-629426.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8695-145602.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-700712.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-462730.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-574653.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-113102.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8700-208077.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8701-680283.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-392487.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-474087.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8704-686076.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-234487.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-322600.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8707-517561.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8708-889234.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-706592.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8710-973789.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8711-623756.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8712-466965.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-659306.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8714-638881.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8715-117676.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8716-746469.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8717-442299.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-808058.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-989902.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8720-620380.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8721-755939.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-669597.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-218294.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-322811.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8725-213521.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8726-926682.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8727-777960.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8728-809093.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-979622.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8730-130688.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-709662.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8732-822676.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8733-143665.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8734-201588.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8735-217358.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-697815.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8737-854335.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-438802.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8739-724320.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8740-519403.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-270399.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-724693.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-754219.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-777713.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8745-825588.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8746-465222.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8747-945132.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8748-932206.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-570291.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8750-273734.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-463875.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8752-312514.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8753-460517.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-687810.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8755-357283.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8756-275612.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-562891.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8758-576794.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8759-324698.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-305389.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8761-316995.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-237839.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8763-988562.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-690195.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-639391.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-515856.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-547096.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8768-630326.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-166261.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-579885.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8771-594357.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-941058.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-452864.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8774-569869.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8775-385700.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8776-504980.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-422124.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8778-891373.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8779-223636.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8780-525873.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-767230.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8782-941311.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-506356.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-608064.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-649607.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8786-523514.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8787-435919.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8788-383299.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8789-111712.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8790-553637.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-906015.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8792-266229.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-269847.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-388430.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8795-180392.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-993825.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-505522.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-313606.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-917589.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8800-583983.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-455936.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-228295.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8803-939976.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8804-493071.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-723285.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8806-557685.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-373036.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-195020.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8809-218589.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8810-337552.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8811-642698.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-276956.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8813-127153.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8814-412683.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-580177.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8816-225228.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8817-508366.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8818-413129.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-599274.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-330853.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8821-535792.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8822-896370.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8823-620930.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-962752.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8825-762313.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-188188.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8827-435467.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-618738.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8829-294214.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8830-526682.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8831-380301.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8832-159190.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8833-106774.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8834-696761.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-439975.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8836-901897.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8837-344514.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8838-748630.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8839-815087.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-164973.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-908943.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8842-675926.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8843-291597.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8844-439213.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8845-795139.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-643193.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8847-365323.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-479623.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8849-949474.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8850-313290.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-102558.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-997144.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-624357.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8854-256247.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8855-982716.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-967392.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8857-923203.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-551661.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-907566.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-943852.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8861-546985.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-588909.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-876138.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-119795.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8865-113819.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-109487.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-967168.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8868-309098.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8869-554168.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8870-653514.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8871-148875.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8872-557474.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8873-990798.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-779588.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8875-751224.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8876-776267.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-559800.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8878-713166.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-257122.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8880-461860.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-186342.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-183259.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8883-614658.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-492824.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8885-511131.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-758825.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8887-977735.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8888-320631.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-550722.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-468943.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8891-957598.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8892-391031.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-589245.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-891617.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8895-994484.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-510713.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-413712.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-727210.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8899-729804.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8900-883141.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-796399.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8902-363504.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-638554.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8904-442132.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8905-828372.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-370105.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-841300.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8908-937974.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-461944.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8910-122237.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8911-999805.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-989342.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8913-662435.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-425356.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-758931.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-564214.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8917-351925.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-881048.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-522860.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8920-660211.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-750421.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-831664.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-138540.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-551366.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8925-827558.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8926-675614.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8927-505497.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-499342.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8929-230931.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8930-535893.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8931-613312.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8932-518808.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-610230.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-397753.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8935-136762.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-831293.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8937-225562.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8938-495467.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-415921.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8940-855031.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8941-739568.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-718763.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8943-863176.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-927692.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-562255.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-111845.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-967550.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-547967.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8949-358400.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-216402.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-744646.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8952-178257.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-700059.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-299073.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-450745.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8956-392339.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8957-771871.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8958-835530.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-576013.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8960-364705.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-699800.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8962-896783.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-984517.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8964-771784.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-447926.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-472900.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-603528.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8968-680110.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8969-581489.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-152205.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-821001.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-740643.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8973-157642.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-867453.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8975-139094.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8976-835557.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8977-836806.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-255316.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8979-439172.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-763170.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-821984.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8982-919973.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8983-523426.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-607860.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-396667.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8986-956809.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8987-385106.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8988-846114.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8989,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-227717.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8990,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-697353.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8991,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-944678.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8992,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8992-189536.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+8993,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8993-349194.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+8994,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8994-970890.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8995,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8995-722613.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+8996,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-877957.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8997,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-134919.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+8998,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8998-593013.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+8999,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8999-586921.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9000,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9000-951441.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9001,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9001-335726.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9002,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9002-912308.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9003,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9003-159582.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9004,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9004-395233.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9005,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9005-891740.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9006,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9006-879787.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9007,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-508436.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9008,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-492509.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9009,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-469123.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9010,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9010-573890.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9011,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-337407.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9012,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9012-142625.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9013,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9013-999108.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9014,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9014-899312.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9015,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9015-491665.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9016,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9016-530623.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9017,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-688007.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9018,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9018-273102.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9019,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9019-593754.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9020,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-968355.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9021,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9021-697536.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9022,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9022-622411.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9023,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9023-702252.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9024,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-910926.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9025,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-729251.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9026,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9026-614081.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9027,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9027-333421.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9028,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9028-203833.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9029,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-347471.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9030,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9030-912558.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9031,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-363608.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9032,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9032-152961.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9033,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9033-358038.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9034,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-533122.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9035,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9035-187022.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9036,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9036-415223.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9037,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-811002.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9038,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-461279.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9039,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9039-880059.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9040,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9040-787936.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9041,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9041-592980.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9042,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9042-665643.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9043,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9043-595800.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9044,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9044-118931.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9045,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-519847.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9046,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9046-403068.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9047,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-433307.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9048,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9048-748302.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9049,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9049-303756.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9050,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9050-922200.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9051,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9051-706381.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9052,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9052-444188.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9053,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-977752.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9054,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9054-546369.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9055,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9055-349820.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9056,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9056-189314.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9057,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-853221.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9058,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9058-160080.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9059,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9059-677161.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9060,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9060-336120.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9061,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-933510.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9062,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-580230.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9063,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-822441.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9064,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9064-732624.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9065,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9065-827318.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9066,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-266248.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9067,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-415819.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9068,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9068-464013.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9069,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9069-725317.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9070,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9070-211889.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9071,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9071-386813.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9072,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9072-423076.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9073,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9073-723692.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9074,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9074-216427.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9075,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-266434.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9076,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-411985.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9077,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-203710.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9078,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-349495.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9079,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-715451.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9080,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9080-157252.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9081,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9081-455450.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9082,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9082-392721.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9083,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9083-495313.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9084,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-103999.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9085,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-545803.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9086,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-607128.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9087,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9087-515177.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9088,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-401455.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9089,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9089-684671.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9090,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9090-243951.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9091,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-949783.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9092,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-406114.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9093,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-987890.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9094,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9094-370154.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9095,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9095-515301.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9096,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9096-478980.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9097,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9097-296868.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9098,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9098-440031.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9099,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9099-969769.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9100,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-810984.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9101,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-888226.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9102,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9102-315026.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9103,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-146034.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9104,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9104-603832.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9105,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9105-268966.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9106,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-959886.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9107,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9107-108141.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9108,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-663244.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9109,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-820129.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9110,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9110-113020.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9111,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9111-298114.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9112,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9112-277239.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9113,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9113-443728.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9114,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-148400.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9115,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9115-646151.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9116,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9116-669136.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9117,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9117-783713.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9118,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9118-909516.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9119,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-926445.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9120,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9120-337876.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9121,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9121-625607.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9122,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9122-497016.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9123,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-373635.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9124,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9124-651050.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9125,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-875164.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9126,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-723051.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9127,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-630538.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9128,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-854034.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9129,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9129-697313.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9130,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9130-470071.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9131,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9131-329460.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9132,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9132-199200.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9133,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9133-820824.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9134,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-395512.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9135,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-391279.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9136,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9136-535315.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9137,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9137-727048.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9138,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9138-149311.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9139,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9139-213479.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9140,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-472658.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9141,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-770228.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9142,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-878976.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9143,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-579144.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9144,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9144-800208.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9145,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9145-947414.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9146,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-874683.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9147,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-388293.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9148,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9148-659742.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9149,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9149-746063.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9150,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9150-582946.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9151,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9151-738111.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9152,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9152-411096.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9153,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9153-986867.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9154,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9154-170355.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9155,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-660970.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9156,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9156-696857.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9157,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9157-701711.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9158,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-866072.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9159,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-380544.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9160,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-229935.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9161,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-898533.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9162,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9162-672445.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9163,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-161604.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9164,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9164-612134.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9165,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-848783.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9166,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9166-726455.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9167,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-623432.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9168,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-522350.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9169,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-622359.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9170,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9170-584950.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9171,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-549654.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9172,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-463084.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9173,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-986650.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9174,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9174-951772.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9175,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9175-273867.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9176,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-162539.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9177,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-132157.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9178,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9178-379186.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9179,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9179-775221.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9180,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-670084.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9181,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-831220.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9182,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9182-354611.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9183,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-750790.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9184,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9184-154263.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9185,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9185-993201.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9186,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9186-337330.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9187,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9187-769319.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9188,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-161938.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9189,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9189-897583.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9190,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9190-140601.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9191,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-561906.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9192,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-122892.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9193,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-337703.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9194,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-415499.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9195,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-162056.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9196,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-122083.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9197,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-539467.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9198,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9198-707070.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9199,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-300081.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9200,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-217953.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9201,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-427422.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9202,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-113436.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9203,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-902590.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9204,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-726432.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9205,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9205-691694.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9206,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9206-544665.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9207,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-134730.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9208,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-403079.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9209,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-230335.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9210,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9210-667271.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9211,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9211-388349.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9212,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9212-819865.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9213,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9213-123690.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9214,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-188607.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9215,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-351486.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9216,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9216-160877.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9217,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9217-450032.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9218,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9218-108901.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9219,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9219-153778.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9220,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9220-773537.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9221,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9221-205403.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9222,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9222-962751.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9223,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9223-170551.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9224,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9224-228140.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9225,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9225-618123.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9226,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-738101.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9227,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9227-634329.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9228,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-304395.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9229,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9229-168190.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9230,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-168228.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9231,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9231-225834.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9232,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9232-316500.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9233,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9233-800458.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9234,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-471481.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9235,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9235-733316.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9236,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9236-232393.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9237,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9237-691384.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9238,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-464217.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9239,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9239-464560.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9240,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9240-991579.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9241,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9241-289114.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9242,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9242-766134.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9243,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9243-352585.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9244,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-882413.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9245,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-430666.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9246,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9246-439454.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9247,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-841555.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9248,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-387573.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9249,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-386838.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9250,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9250-859629.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9251,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9251-109544.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9252,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-194492.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9253,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9253-498741.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9254,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-544042.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9255,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9255-947003.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9256,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-292755.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9257,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-953989.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9258,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9258-638014.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9259,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9259-718331.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9260,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-890709.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9261,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-312833.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9262,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9262-616866.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9263,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9263-736665.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9264,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9264-439202.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9265,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9265-591970.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9266,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9266-568159.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9267,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-589457.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9268,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-188052.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9269,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9269-160520.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9270,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-347561.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9271,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9271-346130.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9272,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-488199.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9273,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-413600.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9274,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-806968.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9275,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9275-210624.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9276,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9276-241096.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9277,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9277-695109.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9278,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-278342.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9279,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9279-743126.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9280,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9280-475292.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9281,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-392033.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9282,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9282-155546.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9283,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9283-322720.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9284,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9284-969729.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9285,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9285-903320.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9286,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9286-600293.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9287,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-892074.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9288,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-147607.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9289,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9289-181272.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9290,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-180411.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9291,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-121815.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9292,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9292-983453.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9293,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9293-290667.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9294,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9294-541006.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9295,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9295-258311.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9296,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9296-959266.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9297,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-219922.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9298,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9298-618161.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9299,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9299-883248.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9300,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9300-383882.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9301,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9301-179586.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9302,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-647179.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9303,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9303-145993.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9304,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-214634.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9305,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-277600.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9306,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-726519.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9307,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-769086.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9308,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9308-529460.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9309,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-973254.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9310,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9310-410486.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9311,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9311-847990.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9312,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-620131.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9313,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-916373.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9314,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9314-726805.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9315,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9315-933216.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9316,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9316-875395.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9317,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9317-486690.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9318,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9318-599959.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9319,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9319-931477.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9320,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-816520.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9321,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9321-978295.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9322,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9322-683495.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9323,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-883401.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9324,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9324-841347.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9325,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-884347.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9326,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-888847.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9327,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9327-398727.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9328,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9328-621316.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9329,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-699685.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9330,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-864251.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9331,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-618552.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9332,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-703953.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9333,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-267635.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9334,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-881639.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9335,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-617407.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9336,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-830879.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9337,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9337-513223.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9338,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-461536.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9339,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9339-598076.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9340,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-403109.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9341,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9341-369861.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9342,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9342-800104.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9343,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9343-565478.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9344,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-301247.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9345,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-740613.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9346,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9346-832625.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9347,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9347-249320.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9348,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9348-557622.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9349,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-722935.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9350,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9350-586360.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9351,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9351-436991.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9352,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9352-983126.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9353,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-567703.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9354,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9354-971765.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9355,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9355-443120.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9356,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-591417.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9357,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9357-237590.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9358,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9358-453677.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9359,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9359-145327.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9360,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9360-816816.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9361,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-877485.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9362,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-518874.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9363,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9363-338045.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9364,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9364-389572.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9365,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9365-721582.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9366,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9366-754009.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9367,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-387518.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9368,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9368-711143.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9369,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9369-700896.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9370,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-657214.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9371,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-557957.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9372,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9372-497629.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9373,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9373-245073.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9374,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-394667.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9375,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-446513.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9376,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-756947.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9377,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9377-438300.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9378,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-893234.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9379,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-411565.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9380,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-896632.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9381,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9381-294094.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9382,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-602252.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9383,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9383-619746.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9384,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-914955.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9385,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-160202.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9386,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9386-137889.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9387,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-362984.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9388,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-636813.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9389,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9389-298088.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9390,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9390-392028.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9391,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9391-218525.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9392,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-134238.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9393,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9393-470356.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9394,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-334624.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9395,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9395-513029.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9396,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9396-949417.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9397,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-282679.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9398,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9398-588803.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9399,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-574181.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9400,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-439804.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9401,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9401-599970.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9402,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-442562.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9403,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-647343.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9404,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9404-831586.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9405,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-379303.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9406,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9406-804360.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9407,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-788921.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9408,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-355656.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9409,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9409-138226.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9410,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-604327.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9411,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9411-605465.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9412,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-301649.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9413,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-500473.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9414,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9414-600249.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9415,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-826023.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9416,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9416-782700.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9417,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-414096.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9418,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-493096.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9419,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9419-293194.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9420,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-506748.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9421,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-445504.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9422,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-890032.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9423,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9423-292517.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9424,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9424-149644.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9425,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9425-224412.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9426,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9426-252650.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9427,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9427-150502.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9428,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9428-761620.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9429,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9429-686278.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9430,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9430-320553.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9431,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-632740.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9432,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-353498.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9433,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9433-508256.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9434,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9434-765705.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9435,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9435-956315.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9436,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-576410.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9437,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9437-371659.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9438,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-673016.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9439,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-934464.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9440,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9440-438372.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9441,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-594164.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9442,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9442-267429.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9443,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9443-756936.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9444,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9444-732326.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9445,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-561157.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9446,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9446-861551.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9447,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-535064.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9448,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-913688.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9449,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-987531.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9450,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-544057.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9451,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9451-924705.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9452,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-463293.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9453,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-344445.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9454,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9454-413921.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9455,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9455-221081.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9456,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-526690.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9457,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9457-775551.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9458,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9458-641358.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9459,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-661867.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9460,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9460-647531.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9461,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9461-370349.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9462,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9462-759705.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9463,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9463-123088.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9464,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9464-398315.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9465,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-636943.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9466,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9466-667138.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9467,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-580541.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9468,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-558552.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9469,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9469-900793.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9470,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-742108.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9471,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9471-798971.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9472,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9472-394005.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9473,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-531306.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9474,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9474-386292.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9475,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9475-746123.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9476,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9476-576500.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9477,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9477-212646.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9478,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-602025.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9479,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9479-347309.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9480,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-472997.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9481,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9481-889718.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9482,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9482-507894.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9483,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9483-993721.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9484,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9484-713236.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9485,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9485-640761.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9486,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9486-717818.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9487,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9487-843717.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9488,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-764617.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9489,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-237034.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9490,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9490-995718.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9491,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9491-234377.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9492,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9492-887614.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9493,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-996785.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9494,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9494-443513.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9495,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9495-752157.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9496,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-469713.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9497,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9497-787179.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9498,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-328888.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9499,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9499-434083.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9500,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-558740.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9501,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-398714.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9502,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9502-902111.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9503,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-286100.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9504,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9504-748007.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9505,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-955459.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9506,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9506-559484.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9507,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9507-350288.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9508,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9508-447484.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9509,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9509-868603.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9510,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-896159.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9511,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9511-924875.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9512,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9512-254313.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9513,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-184849.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9514,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9514-359075.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9515,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9515-488680.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9516,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-968918.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9517,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-361199.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9518,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9518-444990.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9519,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-966219.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9520,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9520-280284.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9521,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9521-638996.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9522,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-213639.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9523,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-372557.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9524,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9524-878186.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9525,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9525-608439.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9526,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9526-867970.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9527,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-422752.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9528,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-364138.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9529,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9529-565577.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9530,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9530-419695.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9531,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9531-561469.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9532,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-205782.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9533,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9533-860355.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9534,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-333439.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9535,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9535-942269.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9536,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-141696.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9537,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9537-468403.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9538,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9538-513451.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9539,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-230045.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9540,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9540-649227.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9541,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9541-161965.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9542,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9542-407719.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9543,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-273882.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9544,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-489207.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9545,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-940003.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9546,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9546-912080.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9547,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9547-796103.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9548,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9548-278097.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9549,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9549-747532.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9550,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-175606.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9551,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9551-312316.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9552,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-548977.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9553,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9553-484957.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9554,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-924801.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9555,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9555-274394.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9556,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9556-340487.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9557,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-839751.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9558,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9558-773428.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9559,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9559-579105.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9560,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9560-824927.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9561,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9561-254644.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9562,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-834418.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9563,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-366544.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9564,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9564-660163.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9565,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9565-376362.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9566,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-570130.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9567,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9567-757372.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9568,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9568-742859.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9569,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9569-337992.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9570,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-999837.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9571,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9571-601264.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9572,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-888381.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9573,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9573-470744.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9574,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-674229.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9575,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9575-199291.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9576,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-634447.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9577,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-537700.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9578,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-705153.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9579,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-439029.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9580,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-128025.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9581,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-106163.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9582,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9582-500803.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9583,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-952916.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9584,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9584-479597.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9585,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9585-693865.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9586,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-601386.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9587,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9587-176385.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9588,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9588-961932.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9589,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9589-928621.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9590,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9590-626614.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9591,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-379499.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9592,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9592-200355.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9593,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9593-895778.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9594,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-317233.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9595,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-380505.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9596,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9596-525746.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9597,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9597-955020.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9598,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9598-383188.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9599,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9599-837504.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9600,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9600-657566.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9601,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-156666.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9602,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-787214.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9603,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-265685.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9604,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9604-837684.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9605,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9605-196607.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9606,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-176958.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9607,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9607-193062.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9608,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9608-185237.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9609,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9609-858658.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9610,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-964890.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9611,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-505400.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9612,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9612-789291.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9613,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9613-318765.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9614,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9614-140551.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9615,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-404456.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9616,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-725961.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9617,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9617-898456.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9618,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-530118.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9619,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9619-862657.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9620,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9620-793852.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9621,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-304423.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9622,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-715590.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9623,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9623-979086.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9624,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9624-980539.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9625,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9625-274022.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9626,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9626-154918.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9627,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9627-750809.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9628,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9628-267136.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9629,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9629-160784.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9630,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9630-689887.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9631,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9631-169301.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9632,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9632-490031.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9633,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9633-287849.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9634,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-930970.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9635,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9635-308434.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9636,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9636-868199.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9637,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9637-514571.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9638,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9638-799377.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9639,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9639-246961.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9640,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9640-789018.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9641,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-836103.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9642,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9642-746941.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9643,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9643-287818.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9644,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-723265.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9645,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9645-894136.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9646,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9646-244178.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9647,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-223116.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9648,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-283710.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9649,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-932291.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9650,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9650-343768.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9651,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9651-701001.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9652,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9652-955299.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9653,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-364370.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9654,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9654-851615.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9655,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-136687.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9656,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9656-479133.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9657,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-471215.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9658,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9658-241912.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9659,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9659-269732.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9660,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-687334.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9661,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-509296.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9662,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9662-656066.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9663,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-913134.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9664,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-419895.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9665,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-406701.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9666,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9666-914169.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9667,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-643308.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9668,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9668-446358.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9669,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9669-426188.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9670,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9670-820263.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9671,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-644584.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9672,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-477371.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9673,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9673-592259.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9674,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-220264.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9675,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-966062.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9676,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9676-649771.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9677,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9677-150244.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9678,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9678-819250.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9679,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-427651.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9680,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9680-136571.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9681,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-532982.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9682,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-751839.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9683,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9683-279311.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9684,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9684-999298.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9685,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9685-628064.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9686,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9686-940338.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9687,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9687-577680.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9688,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9688-262019.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9689,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9689-686464.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9690,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-766541.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9691,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9691-897338.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9692,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-964086.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9693,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-969235.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9694,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-264248.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9695,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9695-806810.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9696,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9696-777982.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9697,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-440862.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9698,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9698-893726.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9699,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-653250.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9700,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9700-128302.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9701,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9701-746352.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9702,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-709747.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9703,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9703-503285.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9704,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-317210.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9705,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9705-304398.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9706,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9706-269304.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9707,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-742534.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9708,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-273749.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9709,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-625222.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9710,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9710-533621.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9711,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-278225.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9712,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9712-951050.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9713,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9713-470327.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9714,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-201411.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9715,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-767227.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9716,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9716-883209.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9717,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9717-319108.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9718,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-110520.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9719,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-244781.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9720,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-720984.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9721,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-381240.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9722,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9722-474332.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9723,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-361645.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9724,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9724-735713.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9725,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-298672.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9726,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9726-141706.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9727,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9727-818296.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9728,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9728-702376.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9729,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9729-113211.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9730,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-713231.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9731,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-661275.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9732,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-519890.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9733,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-483604.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9734,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9734-548252.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9735,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9735-372002.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9736,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9736-450595.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9737,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9737-182900.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9738,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-590424.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9739,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-803776.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9740,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-384578.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9741,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9741-649870.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9742,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-823788.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9743,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-562709.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9744,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-255272.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9745,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9745-826942.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9746,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-620699.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9747,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9747-577361.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9748,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9748-860009.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9749,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-735516.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9750,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9750-556672.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9751,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-254435.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9752,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9752-778204.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9753,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9753-465073.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9754,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-845095.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9755,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-200343.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9756,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9756-752038.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9757,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9757-768003.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9758,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-337860.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9759,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9759-403720.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9760,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9760-644677.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9761,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9761-227260.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9762,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-340851.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9763,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9763-137458.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9764,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-575003.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9765,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9765-778265.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9766,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9766-864796.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9767,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9767-106746.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9768,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9768-571915.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9769,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-117793.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9770,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9770-305528.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9771,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-601647.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9772,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-490860.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9773,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9773-336467.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9774,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9774-657449.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9775,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-330294.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9776,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-806512.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9777,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9777-821483.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9778,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-881495.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9779,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-285920.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9780,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-794304.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9781,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-846613.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9782,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9782-980159.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9783,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-842173.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9784,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9784-285387.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9785,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-248803.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9786,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9786-197018.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9787,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9787-808627.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9788,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-193077.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9789,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9789-946601.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9790,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9790-769954.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9791,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9791-365583.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9792,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9792-919261.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9793,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9793-692645.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9794,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-797277.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9795,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9795-212235.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9796,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9796-802634.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9797,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9797-194717.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9798,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-514829.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9799,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-933674.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9800,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9800-356949.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9801,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-720929.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9802,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-687236.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9803,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-815965.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9804,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-784260.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9805,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9805-553211.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9806,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-844953.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9807,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-375546.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9808,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9808-477011.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9809,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-454089.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9810,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-940791.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9811,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-393914.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9812,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9812-836356.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9813,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9813-395252.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9814,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-423975.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9815,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9815-203961.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9816,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-301770.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9817,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9817-813417.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9818,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-316397.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9819,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-933751.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9820,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9820-668497.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9821,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-364118.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9822,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-554306.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9823,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-599637.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9824,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9824-524758.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9825,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9825-850590.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9826,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-870139.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9827,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-739237.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9828,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-377065.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9829,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-709617.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9830,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-571515.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9831,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-536224.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9832,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-434978.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9833,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9833-259818.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9834,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9834-887165.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9835,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9835-417279.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9836,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9836-747037.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9837,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-545478.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9838,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-512215.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9839,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-181821.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9840,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9840-648248.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9841,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9841-783626.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9842,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9842-397278.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9843,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-737302.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9844,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-510271.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9845,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9845-902057.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9846,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-727935.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9847,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-826884.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9848,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-188405.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9849,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-163683.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9850,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-780478.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9851,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-426172.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9852,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-852150.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9853,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9853-844197.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9854,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9854-868313.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9855,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-421468.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9856,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9856-367238.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9857,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9857-593008.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9858,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9858-137512.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9859,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9859-217746.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9860,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-635515.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9861,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-995836.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9862,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-785522.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9863,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9863-844155.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9864,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9864-668349.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9865,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9865-463828.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9866,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9866-270425.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9867,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-718296.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9868,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9868-655968.",telecom grounded-qa adversarial-set instruction en-us,minimal,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9869,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9869-571095.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9870,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-600340.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9871,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9871-203264.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9872,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9872-866540.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9873,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-358873.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9874,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9874-112346.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9875,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9875-670957.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9876,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9876-382080.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9877,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9877-572906.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9878,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9878-133945.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9879,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-209141.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9880,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9880-529572.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9881,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9881-368749.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9882,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9882-101782.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9883,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-641894.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9884,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-530395.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9885,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9885-322903.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9886,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9886-481863.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9887,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9887-336495.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9888,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-346529.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9889,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-303893.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9890,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9890-616388.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9891,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9891-351482.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9892,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9892-258180.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9893,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9893-656702.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9894,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9894-166083.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9895,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9895-411057.",telecom grounded-qa adversarial-set instruction en-us,stylized,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9896,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9896-760827.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9897,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-722982.",telecom grounded-qa adversarial-set instruction en-us,detailed,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9898,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9898-572995.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9899,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9899-754820.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9900,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9900-877508.",telecom grounded-qa adversarial-set instruction en-us,clean,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9901,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9901-602115.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9902,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9902-178255.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9903,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-774996.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9904,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-415709.",telecom grounded-qa adversarial-set instruction en-us,cinematic,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9905,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9905-308557.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9906,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-993102.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9907,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9907-767675.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9908,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9908-581926.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9909,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9909-308523.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9910,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-404911.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9911,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9911-740986.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9912,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-947726.",telecom grounded-qa adversarial-set instruction en-us,detailed,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9913,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9913-701314.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9914,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-399149.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9915,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9915-293424.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9916,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9916-619218.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9917,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-186167.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9918,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9918-213520.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9919,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-277301.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9920,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-546618.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9921,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-926438.",telecom grounded-qa adversarial-set instruction en-us,stylized,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9922,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9922-543282.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9923,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9923-317789.",telecom grounded-qa adversarial-set instruction en-us,stylized,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9924,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9924-663021.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9925,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9925-998886.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9926,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9926-990929.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9927,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-846512.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9928,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-104436.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9929,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-755153.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9930,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-614820.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9931,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9931-369455.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9932,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9932-629644.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9933,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-203546.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9934,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-467273.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9935,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9935-164645.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9936,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-930425.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9937,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-346033.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9938,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-194995.",telecom grounded-qa adversarial-set instruction en-us,production-ready,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9939,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9939-643799.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9940,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-754880.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9941,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-918146.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9942,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9942-382571.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9943,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9943-665993.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9944,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-618095.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9945,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-135916.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9946,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-316201.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9947,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-663101.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9948,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-862052.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9949,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9949-535501.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9950,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9950-737447.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9951,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-533271.",telecom grounded-qa adversarial-set instruction en-us,production-ready,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9952,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9952-880029.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9953,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-700206.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9954,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9954-410238.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9955,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-805365.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9956,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9956-751077.",telecom grounded-qa adversarial-set instruction en-us,production-ready,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9957,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-860247.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9958,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-360379.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9959,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-593860.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9960,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9960-708731.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9961,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9961-728885.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9962,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9962-106443.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9963,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-901879.",telecom grounded-qa adversarial-set instruction en-us,minimal,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9964,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-130657.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9965,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-445337.",telecom grounded-qa adversarial-set instruction en-us,stylized,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9966,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-580315.",telecom grounded-qa adversarial-set instruction en-us,clean,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9967,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-149232.",telecom grounded-qa adversarial-set instruction en-us,detailed,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9968,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-359296.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9969,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9969-429577.",telecom grounded-qa adversarial-set instruction en-us,clean,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9970,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9970-759836.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9971,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-337709.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9972,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-161263.",telecom grounded-qa adversarial-set instruction en-us,cinematic,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9973,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9973-186657.",telecom grounded-qa adversarial-set instruction en-us,stylized,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9974,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9974-271099.",telecom grounded-qa adversarial-set instruction en-us,minimal,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9975,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-954491.",telecom grounded-qa adversarial-set instruction en-us,detailed,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9976,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9976-451756.",telecom grounded-qa adversarial-set instruction en-us,cinematic,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9977,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9977-895315.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9978,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9978-227612.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9979,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9979-646968.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9980,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9980-125741.",telecom grounded-qa adversarial-set instruction en-us,cinematic,high-precision,2026-02-22T18:33:23.268676Z,1.0000,ok
+9981,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-484439.",telecom grounded-qa adversarial-set instruction en-us,production-ready,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9982,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9982-406432.",telecom grounded-qa adversarial-set instruction en-us,production-ready,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9983,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9983-265842.",telecom grounded-qa adversarial-set instruction en-us,clean,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
+9984,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: telecom-grounded-qa; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9984-888059.",telecom grounded-qa adversarial-set instruction en-us,clean,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9985,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9985-478869.",telecom grounded-qa adversarial-set instruction en-us,cinematic,benchmark-grade,2026-02-22T18:33:23.268676Z,1.0000,ok
+9986,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9986-890122.",telecom grounded-qa adversarial-set instruction en-us,minimal,commercial,2026-02-22T18:33:23.268676Z,1.0000,ok
+9987,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9987-989890.",telecom grounded-qa adversarial-set instruction en-us,detailed,premium,2026-02-22T18:33:23.268676Z,1.0000,ok
+9988,"Theme: telecom grounded-qa adversarial-set instruction en-us; Domain: grounded-qa-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9988-943180.",telecom grounded-qa adversarial-set instruction en-us,minimal,consistent,2026-02-22T18:33:23.268676Z,1.0000,ok
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