id,prompt,theme,style,quality_hint,created_at,quality_row_score,quality_row_flags
1,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1-101816.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2-101634.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3-140133.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4-801081.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5-798766.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6-917315.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7-752730.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8-447969.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9-933395.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
10,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 10-762852.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
11,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 11-221261.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
12,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 12-201210.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
13,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 13-356252.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
14,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 14-785669.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
15,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 15-600063.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
16,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 16-918443.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
17,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 17-519511.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
18,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 18-173697.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
19,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 19-174245.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
20,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 20-788926.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
21,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 21-928228.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
22,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 22-958013.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
23,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 23-239674.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
24,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 24-199173.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
25,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 25-217064.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
26,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 26-900224.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
27,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 27-980018.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
28,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 28-330009.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
29,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 29-160419.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
30,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 30-169828.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
31,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 31-829772.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
32,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 32-696805.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
33,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 33-471530.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
34,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 34-568611.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
35,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 35-403508.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
36,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 36-507165.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
37,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 37-963986.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
38,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 38-432525.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
39,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 39-402511.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
40,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 40-626496.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
41,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 41-921835.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
42,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 42-965299.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
43,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 43-930898.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
44,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 44-387653.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
45,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 45-934221.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
46,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 46-869808.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
47,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 47-528866.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
48,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 48-576246.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
49,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 49-481254.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
50,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 50-403671.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
51,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 51-642204.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
52,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 52-642050.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
53,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 53-503871.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
54,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 54-746230.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
55,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 55-113643.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
56,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 56-130176.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
57,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 57-957602.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
58,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 58-591775.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
59,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 59-104125.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
60,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 60-802816.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
61,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 61-471659.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
62,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 62-638215.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
63,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 63-264705.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
64,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 64-822867.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
65,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 65-586065.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
66,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 66-295159.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
67,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 67-643130.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
68,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 68-401731.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
69,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 69-843278.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
70,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 70-454365.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
71,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 71-310284.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
72,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 72-324015.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
73,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 73-809150.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
74,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 74-923464.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
75,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 75-626795.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
76,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 76-942720.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
77,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 77-249531.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
78,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 78-740802.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
79,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 79-332426.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
80,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 80-470345.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
81,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 81-288338.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
82,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 82-168419.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
83,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 83-800731.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
84,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 84-375977.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
85,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 85-567797.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
86,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 86-995588.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
87,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 87-630164.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
88,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 88-255942.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
89,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 89-132533.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
90,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 90-421148.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
91,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 91-321276.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
92,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 92-238128.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
93,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 93-303855.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
94,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 94-939986.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
95,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 95-254292.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
96,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 96-621088.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
97,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 97-849791.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
98,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 98-533743.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
99,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 99-815322.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 100-442321.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 101-132480.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 102-491766.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 103-210932.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 104-149375.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 105-439947.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 106-872429.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 107-217036.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 108-367144.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 109-827145.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 110-217546.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 111-193205.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 112-477965.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 113-603635.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 114-875639.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 115-195384.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 116-891531.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 117-555126.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 118-524198.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 119-301570.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 120-694116.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 121-953472.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 122-845406.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 123-226559.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 124-290468.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 125-534946.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 126-392683.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 127-871120.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 128-606435.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 129-873493.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 130-245522.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 131-275715.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 132-455603.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 133-655086.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 134-658178.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 135-553221.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 136-200260.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 137-799902.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 138-589756.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 139-745167.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 140-765581.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 141-202516.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 142-498564.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 143-664768.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 144-607687.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 145-443193.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 146-942259.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 147-144376.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 148-867995.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 149-800624.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 150-770607.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 151-320934.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 152-131094.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 153-164334.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 154-454768.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 155-911676.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 156-487626.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 157-545344.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 158-843094.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 159-313328.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 160-587904.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 161-687457.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 162-804367.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 163-371547.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 164-589374.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 165-150605.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 166-925126.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 167-931608.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 168-453941.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 169-139173.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 170-481244.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 171-234927.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 172-594942.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 173-982338.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 174-421956.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 175-670412.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 176-436179.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 177-415694.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 178-477429.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 179-978390.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 180-878709.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 181-678099.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 182-695501.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 183-583608.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 184-953683.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 185-523514.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 186-971346.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 187-220255.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 188-190705.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 189-433270.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 190-523619.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 191-788244.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 192-657208.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 193-765324.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 194-350236.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 195-796268.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 196-264140.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 197-241001.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 198-561661.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 199-257364.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 200-943206.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 201-110305.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 202-781533.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 203-808315.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 204-864021.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 205-759695.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 206-437296.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 207-698628.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 208-906191.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 209-691013.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 210-790460.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 211-895755.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 212-211837.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 213-383580.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 214-333324.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 215-718864.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 216-505867.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 217-372558.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 218-594372.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 219-806029.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 220-170255.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 221-835091.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 222-679317.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 223-414177.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 224-399646.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 225-433512.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 226-801597.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 227-562765.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 228-516163.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 229-237523.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 230-821751.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 231-609985.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 232-445043.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 233-953485.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 234-808522.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 235-649572.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 236-237660.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 237-392282.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 238-150731.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 239-331096.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 240-711430.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 241-384739.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 242-419533.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 243-665806.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 244-931451.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 245-659352.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 246-657077.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 247-957498.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 248-614948.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 249-781862.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 250-903697.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 251-818479.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 252-649049.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 253-852053.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 254-761412.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 255-454732.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 256-600782.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 257-306750.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 258-991564.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 259-666582.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 260-295160.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 261-604080.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 262-973092.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 263-493562.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 264-412981.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 265-626492.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 266-585000.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 267-288398.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 268-778945.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 269-322344.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 270-928272.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 271-521202.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 272-195791.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 273-790615.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 274-492739.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 275-869312.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 276-954461.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 277-711304.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 278-491687.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 279-854712.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 280-996648.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 281-477640.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 282-556139.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 283-810712.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 284-766627.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 285-332534.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 286-832117.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 287-580956.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 288-188285.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 289-417616.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 290-987762.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 291-567088.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 292-906528.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 293-390476.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 294-124056.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 295-332463.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 296-939312.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 297-631133.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 298-834537.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 299-546017.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 300-988809.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 301-555231.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 302-992519.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 303-735201.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 304-274984.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 305-669173.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 306-237687.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 307-373944.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 308-100522.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 309-270103.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 310-291784.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 311-404567.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 312-827085.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 313-223448.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 314-648296.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 315-326150.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 316-858482.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 317-728934.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 318-401181.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 319-811472.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 320-651722.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 321-915748.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 322-458392.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 323-838877.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 324-503929.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 325-253610.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 326-379544.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 327-875924.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 328-765971.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 329-139151.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 330-876002.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 331-107864.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 332-934769.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 333-774085.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 334-831017.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 335-198297.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 336-350415.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 337-298631.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 338-741379.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 339-897799.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 340-204962.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 341-255451.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 342-325567.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 343-880858.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 344-789842.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 345-655972.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 346-683704.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 347-182145.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 348-730884.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 349-910608.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 350-803698.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 351-186501.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 352-495784.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 353-365126.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 354-226017.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 355-564558.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 356-983990.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 357-830532.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 358-159467.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 359-255854.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 360-922535.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 361-911222.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 362-947002.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 363-227234.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 364-503673.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 365-595110.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 366-483405.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 367-388809.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 368-734298.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 369-575313.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 370-987483.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 371-223251.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 372-422879.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 373-327938.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 374-411784.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 375-422574.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 376-266899.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 377-659877.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 378-477871.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 379-110326.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 380-677597.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 381-902076.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 382-533600.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 383-686508.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 384-578537.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 385-593072.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 386-725358.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 387-734521.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 388-353430.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 389-278259.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 390-129806.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 391-201611.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 392-128756.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 393-352783.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 394-790367.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 395-307777.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 396-192407.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 397-666698.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 398-583113.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 399-569978.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 400-712312.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 401-595664.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 402-872078.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 403-558276.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 404-138272.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 405-741317.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 406-928048.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 407-643279.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 408-683452.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 409-714764.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 410-355517.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 411-489268.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 412-387955.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 413-935511.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 414-222312.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 415-751716.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 416-591759.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 417-365488.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 418-820132.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 419-269292.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 420-708483.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 421-103071.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 422-368767.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 423-361338.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 424-413548.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 425-704587.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 426-396449.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 427-443208.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 428-872394.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 429-358638.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 430-973893.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 431-895656.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 432-755386.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 433-925924.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 434-557745.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 435-217860.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 436-909358.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 437-852035.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 438-233146.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 439-561349.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 440-161979.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 441-434527.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 442-210087.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 443-433652.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 444-387513.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 445-149162.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 446-232402.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 447-777275.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 448-238130.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 449-357990.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 450-123610.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 451-350020.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 452-679475.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 453-521641.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 454-199559.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 455-480936.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 456-943640.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 457-252555.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 458-169959.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 459-454002.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 460-358175.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 461-382258.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 462-419309.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 463-450295.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 464-429633.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 465-186247.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 466-875133.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 467-284143.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 468-433066.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 469-374987.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 470-259266.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 471-750891.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 472-458841.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 473-857701.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 474-773316.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 475-984648.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 476-820898.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 477-700970.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 478-702208.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 479-102484.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 480-537679.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 481-330840.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 482-414217.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 483-805043.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 484-898160.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 485-451221.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 486-902840.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 487-871990.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 488-918504.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 489-720246.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 490-979597.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 491-937590.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 492-963770.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 493-435259.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 494-316871.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 495-717813.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 496-172773.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 497-341277.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 498-278891.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 499-740920.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 500-968617.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 501-281299.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 502-427055.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 503-661807.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 504-660506.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 505-353515.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 506-592987.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 507-476359.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 508-549600.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 509-848669.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 510-604011.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 511-215462.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 512-962786.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 513-171149.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 514-342395.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 515-183625.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 516-104651.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 517-366423.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 518-903628.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 519-976184.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 520-458984.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 521-192571.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 522-236267.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 523-427617.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 524-125032.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 525-285227.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 526-539494.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 527-530374.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 528-201233.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 529-876998.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 530-764857.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 531-855984.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 532-601364.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 533-301353.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 534-136023.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 535-714355.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 536-544785.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 537-443041.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 538-384055.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 539-596582.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 540-139445.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 541-532393.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 542-832302.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 543-892980.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 544-560510.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 545-415616.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 546-421748.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 547-451807.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 548-160933.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 549-841350.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 550-266228.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 551-233566.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 552-652870.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 553-285298.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 554-701468.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 555-802599.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 556-505631.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 557-363748.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 558-210062.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 559-201798.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 560-257414.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 561-219587.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 562-496766.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 563-404940.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 564-317535.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 565-707300.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 566-527340.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 567-690793.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 568-180679.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 569-402190.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 570-117615.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 571-588301.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 572-141321.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 573-306566.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 574-198523.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 575-528481.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 576-857109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 577-194705.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 578-553405.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 579-577460.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 580-553264.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 581-829369.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 582-694982.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 583-110014.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 584-641298.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 585-579322.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 586-132713.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 587-935795.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 588-894996.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 589-205789.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 590-910363.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 591-279282.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 592-582645.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 593-847123.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 594-181040.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 595-356197.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 596-140831.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 597-938942.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 598-540461.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 599-585217.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 600-385277.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 601-717268.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 602-937171.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 603-718191.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 604-333623.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 605-774663.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 606-156744.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 607-488479.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 608-676113.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 609-961461.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 610-518817.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 611-603620.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 612-545576.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 613-435843.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 614-183948.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 615-293524.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 616-378493.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 617-923313.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 618-683453.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 619-910514.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 620-103381.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 621-475998.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 622-112788.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 623-813273.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 624-650936.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 625-565687.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 626-373122.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 627-556058.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 628-429930.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 629-988209.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 630-786984.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 631-835161.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 632-943887.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 633-665870.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 634-614051.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 635-701622.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 636-241557.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 637-803017.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 638-176730.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 639-471585.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 640-489735.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 641-724200.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 642-701054.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 643-429331.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 644-460032.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 645-367842.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 646-609622.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 647-606046.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 648-582446.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 649-805662.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 650-294657.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 651-665246.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 652-877390.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 653-424011.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 654-358513.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 655-448164.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 656-618757.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 657-525068.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 658-712582.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 659-157399.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 660-645321.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 661-304161.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 662-669556.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 663-445688.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 664-702209.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 665-319089.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 666-215585.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 667-151236.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 668-455181.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 669-456324.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 670-948954.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 671-319378.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 672-606526.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 673-135317.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 674-791129.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 675-460567.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 676-128059.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 677-365500.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 678-916110.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 679-629976.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 680-130934.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 681-592168.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 682-891289.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 683-506098.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 684-970450.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 685-943052.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 686-240647.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 687-133987.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 688-237349.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 689-165862.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 690-134260.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 691-283252.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 692-470449.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 693-771033.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 694-926207.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 695-561905.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 696-900868.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 697-622252.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 698-521670.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 699-413396.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 700-254994.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 701-455288.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 702-711471.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 703-219439.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 704-734469.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 705-230291.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 706-482540.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 707-862080.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 708-502302.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 709-139904.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 710-588878.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 711-538319.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 712-232897.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 713-504085.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 714-761592.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 715-650518.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 716-924082.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 717-227602.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 718-930664.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 719-379414.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 720-125058.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 721-106323.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 722-480386.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 723-221269.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 724-931036.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 725-712517.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 726-179693.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 727-698573.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 728-993737.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 729-449428.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 730-194343.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 731-417228.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 732-313753.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 733-571869.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 734-807814.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 735-161164.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 736-422644.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 737-681492.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 738-777678.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 739-703831.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 740-677826.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 741-773265.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 742-358428.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 743-631495.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 744-435230.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 745-816425.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 746-794587.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 747-290303.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 748-127025.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 749-283761.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 750-683745.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 751-858277.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 752-953374.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 753-649358.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 754-601273.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 755-653511.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 756-499398.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 757-620044.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 758-740631.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 759-517204.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 760-421786.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 761-211964.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 762-102555.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 763-475424.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 764-219591.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 765-525371.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 766-133612.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 767-184204.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 768-337134.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 769-211390.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 770-198022.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 771-522471.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 772-269136.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 773-547435.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 774-685753.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 775-742862.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 776-933088.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 777-529314.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 778-630767.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 779-787940.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 780-933508.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 781-383845.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 782-935755.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 783-714714.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 784-527343.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 785-124288.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 786-463656.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 787-534220.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 788-156930.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 789-280319.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 790-841855.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 791-503687.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 792-713546.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 793-728969.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 794-313438.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 795-549180.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 796-529302.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 797-314632.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 798-860918.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 799-896192.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 800-617363.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 801-804161.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 802-925859.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 803-877799.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 804-802356.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 805-284947.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 806-254041.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 807-371948.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 808-958905.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 809-658059.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 810-154623.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 811-898867.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 812-433053.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 813-929877.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 814-847499.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 815-805284.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 816-527904.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 817-766034.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 818-360644.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 819-931919.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 820-113056.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 821-764291.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 822-962606.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 823-870905.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 824-961132.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 825-862770.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 826-754189.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 827-229978.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 828-927788.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 829-353630.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 830-250556.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 831-829658.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 832-996560.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 833-123700.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 834-871163.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 835-106569.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 836-746348.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 837-537664.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 838-373450.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 839-675638.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 840-414281.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 841-292474.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 842-800436.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 843-675874.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 844-972247.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 845-750592.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 846-528263.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 847-917920.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 848-859766.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 849-591948.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 850-471876.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 851-752263.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 852-305759.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 853-361406.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 854-254976.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 855-404116.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 856-474122.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 857-164331.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 858-762818.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 859-146197.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 860-803980.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 861-548621.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 862-190733.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 863-162241.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 864-202048.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 865-940621.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 866-276634.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 867-277754.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 868-202016.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 869-196156.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 870-745452.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 871-377312.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 872-164249.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 873-824793.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 874-341428.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 875-612221.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 876-152686.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 877-232193.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 878-770865.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 879-574989.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 880-718665.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 881-289164.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 882-375400.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 883-956092.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 884-533749.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 885-291988.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 886-247863.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 887-416205.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 888-886174.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 889-826129.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 890-607997.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 891-114197.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 892-617770.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 893-344867.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 894-638694.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 895-744879.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 896-221145.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 897-349583.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 898-556381.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 899-715452.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 900-343945.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 901-815217.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 902-417834.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 903-963816.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 904-411304.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 905-556701.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 906-927068.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 907-587197.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 908-782031.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 909-796040.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 910-248320.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 911-823091.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 912-301782.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 913-886701.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 914-319203.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 915-253728.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 916-512798.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 917-995401.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 918-909341.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 919-556818.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 920-539222.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 921-745182.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 922-342711.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 923-840973.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 924-136295.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 925-356196.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 926-745231.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 927-307207.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 928-496793.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 929-910062.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 930-917559.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 931-252381.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 932-236956.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 933-815439.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 934-300656.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 935-635616.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 936-187803.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 937-999665.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 938-283762.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 939-653708.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 940-785003.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 941-268075.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 942-802015.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 943-562405.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 944-517887.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 945-588140.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 946-288265.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 947-960532.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 948-445587.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 949-322447.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 950-222991.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 951-512864.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 952-592522.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 953-627936.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 954-322595.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 955-116267.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 956-278578.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 957-280173.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 958-201662.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 959-473194.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 960-857642.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 961-338437.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 962-629778.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 963-402349.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 964-208520.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 965-941087.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 966-918578.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 967-190013.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 968-503556.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 969-140194.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 970-492970.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 971-977783.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 972-244358.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 973-955430.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 974-193503.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 975-327094.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 976-437902.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 977-126996.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 978-106338.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 979-627629.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 980-648077.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 981-192545.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 982-616965.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 983-847778.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 984-442201.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 985-840636.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 986-798801.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 987-120591.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 988-372253.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 989-179888.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 990-869654.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 991-804296.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 992-662328.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 993-155526.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 994-650333.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 995-609806.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 996-905587.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 997-615549.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 998-381472.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 999-173166.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1000-875648.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1001-676010.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1002-567098.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1003-337655.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1004-200346.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1005-705605.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1006-680897.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1007-390513.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1008-679983.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1009-446029.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1010-183417.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1011-347324.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1012-355616.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1013-597325.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1014-743006.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1015-885075.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1016-441420.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1017-728875.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1018-926702.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1019-309708.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1020-570393.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1021-725936.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1022-874365.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1023-820829.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1024-659615.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1025-290929.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1026-114468.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1027-937932.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1028-384044.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1029-251946.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1030-190889.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1031-153104.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1032-886339.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1033-693746.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1034-324712.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1035-620381.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1036-351325.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1037-144197.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1038-535978.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1039-121545.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1040-683041.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1041-250005.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1042-686843.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1043-118660.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1044-552098.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1045-869672.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1046-545169.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1047-358319.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1048-126156.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1049-864525.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1050-486169.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1051-702221.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1052-274849.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1053-707720.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1054-630656.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1055-223872.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1056-191438.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1057-934355.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1058-909231.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1059-439348.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1060-960313.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1061-885062.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1062-331454.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1063-876076.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1064-410440.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1065-932155.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1066-348547.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1067-817651.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1068-636188.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1069-290627.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1070-511145.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1071-648867.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1072-997952.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1073-243292.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1074-626032.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1075-482729.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1076-252643.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1077-989870.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1078-729276.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1079-861230.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1080-577674.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1081-893100.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1082-210660.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1083-416551.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1084-225913.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1085-769879.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1086-829818.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1087-275536.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1088-804306.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1089-301451.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1090-167232.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1091-509636.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1092-709264.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1093-977686.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1094-449393.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1095-926105.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1096-180966.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1097-324532.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1098-974717.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1099-858575.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1100-236962.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1101-950839.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1102-779140.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1103-873538.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1104-971241.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1105-301392.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1106-775419.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1107-485708.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1108-192290.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1109-286181.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1110-763622.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1111-273585.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1112-118766.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1113-881193.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1114-184790.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1115-119136.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1116-684262.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1117-479727.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1118-270843.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1119-295947.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1120-335808.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1121-354742.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1122-843674.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1123-754397.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1124-158775.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1125-426439.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1126-245812.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1127-929120.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1128-236522.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1129-734845.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1130-921107.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1131-154235.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1132-111867.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1133-303844.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1134-779623.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1135-167875.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1136-813210.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1137-509718.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1138-357682.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1139-519978.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1140-619725.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1141-611772.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1142-621549.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1143-470308.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1144-805161.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1145-192846.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1146-436692.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1147-264455.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1148-232788.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1149-409231.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1150-276594.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1151-365697.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1152-438198.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1153-491107.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1154-489275.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1155-885101.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1156-699140.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1157-226226.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1158-313769.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1159-891538.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1160-916697.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1161-812269.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1162-764096.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1163-610218.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1164-405149.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1165-725298.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1166-969636.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1167-632318.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1168-746151.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1169-836421.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1170-372085.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1171-186075.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1172-237419.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1173-578810.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1174-768785.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1175-182318.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1176-144940.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1177-509290.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1178-504868.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1179-748551.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1180-938586.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1181-172373.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1182-217685.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1183-283084.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1184-438629.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1185-736609.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1186-642262.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1187-911726.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1188-694408.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1189-378038.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1190-968140.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1191-451989.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1192-996100.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1193-742431.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1194-789347.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1195-731924.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1196-591841.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1197-963079.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1198-451679.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1199-536893.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1200-682627.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1201-304365.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1202-244952.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1203-894160.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1204-929545.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1205-778246.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1206-496864.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1207-193076.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1208-599960.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1209-583500.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1210-236540.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1211-633393.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1212-117948.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1213-123692.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1214-140780.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1215-892296.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1216-513981.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1217-301859.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1218-231038.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1219-735654.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1220-963549.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1221-547475.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1222-558950.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1223-531050.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1224-310387.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1225-335275.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1226-675225.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1227-719758.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1228-279873.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1229-296317.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1230-329384.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1231-227561.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1232-108469.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1233-541545.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1234-723971.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1235-373556.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1236-837285.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1237-231835.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1238-319392.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1239-352201.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1240-182059.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1241-605502.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1242-359456.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1243-329600.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1244-928145.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1245-529486.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1246-119632.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1247-326584.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1248-252051.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1249-500690.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1250-776203.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1251-101269.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1252-414484.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1253-472833.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1254-845171.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1255-452001.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1256-317506.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1257-424216.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1258-597452.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1259-556684.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1260-803436.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1261-775917.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1262-686434.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1263-252470.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1264-899929.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1265-731512.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1266-158862.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1267-308095.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1268-953391.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1269-810806.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1270-201536.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1271-524869.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1272-404705.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1273-900335.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1274-372026.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1275-928410.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1276-827470.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1277-261265.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1278-789002.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1279-972937.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1280-708554.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1281-285954.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1282-929367.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1283-164751.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1284-680353.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1285-692294.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1286-820945.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1287-159896.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1288-485622.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1289-965107.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1290-822982.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1291-245438.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1292-981046.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1293-450586.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1294-756241.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1295-140910.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1296-257184.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1297-798746.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1298-665416.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1299-762421.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1300-367596.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1301-978647.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1302-522486.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1303-211363.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1304-664918.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1305-758881.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1306-261515.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1307-534640.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1308-385461.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1309-543271.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1310-442985.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1311-322562.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1312-381205.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1313-638459.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1314-532864.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1315-209392.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1316-442369.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1317-355969.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1318-248026.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1319-943354.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1320-587092.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1321-407861.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1322-673904.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1323-992343.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1324-631082.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1325-247497.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1326-330885.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1327-981599.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1328-569627.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1329-486335.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1330-886588.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1331-848510.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1332-846239.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1333-719226.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1334-364222.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1335-345177.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1336-594593.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1337-288359.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1338-274801.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1339-620534.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1340-835088.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1341-478758.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1342-872821.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1343-436225.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1344-864012.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1345-478914.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1346-761015.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1347-998923.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1348-336844.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1349-454531.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1350-965950.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1351-579663.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1352-716477.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1353-616029.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1354-113832.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1355-493011.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1356-940082.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1357-397126.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1358-493998.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1359-357299.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1360-125117.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1361-402403.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1362-394107.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1363-327982.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1364-143520.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1365-762890.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1366-173217.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1367-290294.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1368-866741.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1369-830876.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1370-509492.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1371-617569.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1372-234681.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1373-319475.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1374-710440.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1375-126543.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1376-394565.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1377-591938.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1378-463399.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1379-976639.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1380-134388.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1381-254016.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1382-584006.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1383-817563.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1384-491144.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1385-214764.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1386-157111.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1387-633497.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1388-295223.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1389-966851.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1390-535414.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1391-121519.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1392-845855.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1393-663039.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1394-691886.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1395-982664.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1396-420951.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1397-306542.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1398-149862.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1399-581458.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1400-703808.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1401-328011.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1402-649294.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1403-741413.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1404-848280.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1405-597751.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1406-897736.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1407-493326.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1408-630860.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1409-225882.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1410-621047.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1411-777079.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1412-775902.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1413-660432.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1414-833789.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1415-115497.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1416-899924.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1417-852367.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1418-645219.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1419-900775.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1420-920836.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1421-715038.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1422-632442.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1423-939179.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1424-170563.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1425-967128.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1426-449193.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1427-897244.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1428-478051.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1429-253964.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1430-174576.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1431-743280.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1432-894674.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1433-446373.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1434-907191.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1435-592137.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1436-681333.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1437-282087.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1438-683242.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1439-656593.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1440-702532.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1441-673380.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1442-266285.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1443-929999.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1444-818327.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1445-680190.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1446-309199.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1447-164130.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1448-510523.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1449-253960.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1450-652920.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1451-157552.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1452-512610.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1453-693396.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1454-775158.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1455-436300.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1456-595607.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1457-180155.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1458-956126.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1459-408949.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1460-793172.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1461-164099.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1462-408064.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1463-379708.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1464-346062.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1465-643612.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1466-667538.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1467-982934.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1468-385114.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1469-296605.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1470-675283.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1471-349583.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1472-117828.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1473-154581.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1474-198292.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1475-162047.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1476-954004.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1477-931779.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1478-218556.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1479-522145.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1480-621892.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1481-990776.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1482-801978.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1483-789088.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1484-711876.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1485-613451.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1486-615538.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1487-802024.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1488-387803.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1489-634223.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1490-456328.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1491-955200.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1492-233139.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1493-388966.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1494-556817.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1495-539076.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1496-564053.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1497-121419.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1498-144082.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1499-345665.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1500-545644.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1501-899160.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1502-284688.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1503-988603.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1504-402097.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1505-617662.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1506-710857.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1507-495261.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1508-503030.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1509-394897.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1510-718005.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1511-756804.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1512-916411.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1513-785951.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1514-968984.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1515-355744.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1516-627748.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1517-847403.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1518-328587.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1519-370062.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1520-701267.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1521-926916.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1522-315556.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1523-668805.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1524-259037.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1525-931515.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1526-358151.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1527-492307.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1528-239702.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1529-637006.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1530-801946.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1531-637862.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1532-265606.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1533-343401.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1534-931619.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1535-863591.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1536-573162.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1537-131690.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1538-640698.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1539-281651.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1540-951401.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1541-289906.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1542-855922.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1543-134737.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1544-846693.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1545-468166.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1546-937642.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1547-620581.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1548-535156.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1549-871854.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1550-738552.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1551-198904.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1552-413822.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1553-104062.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1554-200261.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1555-701568.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1556-570625.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1557-532733.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1558-593089.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1559-831602.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1560-969914.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1561-307134.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1562-778384.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1563-109317.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1564-507087.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1565-981596.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1566-432923.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1567-276138.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1568-433362.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1569-220728.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1570-964004.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1571-743588.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1572-393827.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1573-581453.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1574-485842.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1575-571095.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1576-717901.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1577-390530.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1578-528776.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1579-670122.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1580-630004.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1581-807662.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1582-861577.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1583-940061.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1584-746404.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1585-656393.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1586-201485.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1587-179048.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1588-678461.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1589-179211.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1590-406427.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1591-377159.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1592-789992.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1593-875914.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1594-659973.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1595-452511.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1596-709928.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1597-968316.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1598-751291.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1599-162001.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1600-428211.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1601-172705.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1602-225517.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1603-882734.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1604-439221.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1605-132216.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1606-739147.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1607-264496.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1608-631647.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1609-599173.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1610-708577.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1611-371275.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1612-524480.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1613-274546.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1614-707966.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1615-399887.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1616-790307.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1617-685352.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1618-868275.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1619-271632.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1620-718367.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1621-259066.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1622-292204.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1623-554549.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1624-713771.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1625-670725.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1626-734246.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1627-329917.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1628-616589.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1629-952446.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1630-982960.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1631-367760.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1632-913766.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1633-345325.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1634-598899.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1635-297693.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1636-487241.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1637-991200.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1638-149289.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1639-872650.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1640-133866.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1641-507748.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1642-907136.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1643-664068.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1644-763801.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1645-920594.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1646-348225.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1647-174589.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1648-490048.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1649-784275.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1650-951267.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1651-310535.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1652-385773.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1653-144977.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1654-861324.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1655-689116.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1656-446935.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1657-356304.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1658-184789.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1659-809166.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1660-949852.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1661-683617.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1662-262285.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1663-218811.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1664-653585.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1665-280100.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1666-195586.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1667-842814.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1668-180353.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1669-656032.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1670-342352.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1671-198000.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1672-875467.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1673-505683.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1674-420778.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1675-887520.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1676-261289.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1677-782331.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1678-511231.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1679-602998.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1680-478091.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1681-318238.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1682-735528.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1683-511749.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1684-776820.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1685-418203.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1686-184279.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1687-978641.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1688-685676.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1689-460223.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1690-770292.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1691-163583.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1692-443803.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1693-183162.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1694-292317.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1695-592254.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1696-559675.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1697-473644.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1698-510965.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1699-820609.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1700-486597.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1701-545454.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1702-808030.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1703-979687.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1704-403224.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1705-633811.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1706-447166.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1707-783253.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1708-929624.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1709-584754.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1710-266487.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1711-528319.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1712-341461.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1713-128524.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1714-967846.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1715-718546.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1716-856604.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1717-697516.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1718-300470.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1719-469461.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1720-249242.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1721-982399.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1722-896318.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1723-122585.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1724-299702.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1725-937766.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1726-486526.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1727-746543.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1728-496781.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1729-985226.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1730-541846.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1731-501218.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1732-263704.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1733-294014.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1734-663162.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1735-629251.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1736-772291.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1737-433023.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1738-231359.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1739-631834.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1740-349693.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1741-248086.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1742-459038.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1743-529234.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1744-492236.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1745-362093.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1746-388425.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1747-859238.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1748-306426.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1749-183695.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1750-107731.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1751-527319.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1752-663034.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1753-696605.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1754-241745.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1755-197276.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1756-814518.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1757-546040.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1758-271599.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1759-244714.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1760-344839.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1761-880149.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1762-101828.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1763-951887.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1764-467335.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1765-393055.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1766-919996.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1767-231612.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1768-200926.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1769-806028.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1770-944371.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1771-908036.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1772-620937.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1773-417504.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1774-814458.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1775-828033.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1776-745538.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1777-144929.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1778-579773.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1779-921819.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1780-700812.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1781-234621.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1782-369010.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1783-973610.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1784-388943.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1785-698704.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1786-113742.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1787-602310.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1788-731165.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1789-901522.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1790-461764.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1791-533587.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1792-559826.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1793-457103.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1794-800966.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1795-658668.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1796-951421.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1797-664640.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1798-475553.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1799-338867.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1800-424705.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1801-387943.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1802-826396.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1803-678452.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1804-964557.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1805-496193.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1806-470997.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1807-694146.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1808-256231.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1809-868385.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1810-878689.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1811-277016.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1812-352047.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1813-705780.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1814-900124.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1815-768798.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1816-124170.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1817-926025.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1818-833008.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1819-214615.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1820-246009.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1821-116773.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1822-783487.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1823-331622.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1824-143013.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1825-995495.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1826-303356.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1827-333235.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1828-803014.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1829-597921.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1830-864825.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1831-716842.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1832-291294.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1833-843955.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1834-384833.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1835-660177.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1836-417164.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1837-196042.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1838-905282.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1839-785506.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1840-759568.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1841-137980.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1842-101365.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1843-596682.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1844-919302.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1845-243539.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1846-696462.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1847-278524.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1848-546436.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1849-553842.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1850-385599.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1851-894244.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1852-712181.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1853-906568.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1854-312137.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1855-890945.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1856-428379.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1857-128735.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1858-630860.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1859-289834.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1860-716424.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1861-971415.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1862-418640.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1863-711360.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1864-929011.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1865-176747.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1866-725458.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1867-370759.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1868-840143.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1869-630982.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1870-930956.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1871-432609.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1872-687638.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1873-549970.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1874-991052.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1875-969263.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1876-325099.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1877-771411.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1878-490375.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1879-745883.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1880-462456.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1881-458212.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1882-383963.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1883-822277.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1884-713382.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1885-775431.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1886-455055.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1887-468745.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1888-121599.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1889-123552.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1890-596544.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1891-659607.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1892-263582.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1893-110567.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1894-521743.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1895-249692.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1896-469068.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1897-807087.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1898-732359.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1899-766533.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1900-366940.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1901-282907.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1902-311221.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1903-812867.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1904-125049.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1905-218880.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1906-120657.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1907-277316.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1908-647496.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1909-406976.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1910-249932.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1911-155611.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1912-203120.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1913-751104.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1914-287766.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1915-680863.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1916-472577.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1917-741592.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1918-352615.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1919-775712.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1920-210108.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1921-569603.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1922-737272.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1923-755289.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1924-663376.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1925-435548.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1926-249104.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1927-135975.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1928-566965.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1929-844465.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1930-259954.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1931-687522.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1932-862249.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1933-458239.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1934-861350.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1935-539823.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1936-864164.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1937-272352.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1938-999082.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1939-147024.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1940-268171.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1941-458259.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1942-316591.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1943-899640.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1944-497366.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1945-101094.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1946-866008.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1947-721351.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1948-394559.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1949-209601.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1950-949795.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1951-667881.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1952-545715.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1953-580038.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1954-541059.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1955-166934.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1956-589320.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1957-405806.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1958-247534.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1959-833040.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1960-640788.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1961-141376.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1962-526349.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1963-882608.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1964-923628.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 1965-306738.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1966-222359.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1967-898559.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1968-668022.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1969-941335.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1970-899751.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 1971-990799.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1972-924931.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1973-783050.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1974-321257.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1975-141884.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1976-188534.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1977-212840.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1978-688885.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1979-155436.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1980-405883.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1981-751631.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1982-586614.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1983-131888.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1984-693897.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 1985-805876.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1986-745567.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1987-394985.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1988-904211.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 1989-819376.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1990-404420.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
1991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 1991-864938.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
1992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 1992-607658.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1993-871001.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 1994-971700.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1995-808374.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1996-192883.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
1997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 1997-505537.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
1998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 1998-698816.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
1999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 1999-519732.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2000-954517.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2001-746700.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2002-718125.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2003-869104.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2004-741728.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2005-995404.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2006-252899.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2007-223195.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2008-524665.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2009-973514.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2010-585386.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2011-156761.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2012-225355.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2013-872889.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2014-302509.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2015-640117.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2016-785601.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2017-665511.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2018-632890.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2019-383393.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2020-115969.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2021-496580.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2022-728171.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2023-534424.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2024-400707.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2025-308218.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2026-297967.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2027-156803.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2028-149870.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2029-375521.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2030-419972.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2031-490455.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2032-792253.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2033-227221.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2034-123347.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2035-123568.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2036-747116.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2037-642849.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2038-749055.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2039-452669.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2040-985365.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2041-637253.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2042-996100.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2043-874766.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2044-708088.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2045-203725.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2046-942347.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2047-515849.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2048-852925.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2049-445925.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2050-445526.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2051-254287.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2052-773692.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2053-672677.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2054-781243.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2055-139410.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2056-339798.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2057-562944.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2058-108958.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2059-725276.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2060-898105.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2061-352372.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2062-405454.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2063-389658.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2064-570790.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2065-576857.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2066-661468.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2067-723612.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2068-248320.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2069-963866.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2070-612433.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2071-816658.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2072-107177.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2073-951393.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2074-259805.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2075-834413.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2076-249469.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2077-126018.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2078-273500.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2079-126680.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2080-422445.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2081-507406.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2082-364613.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2083-605315.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2084-897444.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2085-828978.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2086-520151.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2087-444726.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2088-624778.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2089-722736.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2090-334339.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2091-744355.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2092-881505.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2093-930539.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2094-942865.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2095-665625.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2096-762067.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2097-960044.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2098-767884.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2099-259570.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2100-266985.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2101-255880.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2102-611644.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2103-138243.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2104-159857.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2105-454806.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2106-618772.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2107-172332.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2108-715911.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2109-370913.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2110-725259.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2111-697988.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2112-440295.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2113-283025.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2114-966298.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2115-423832.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2116-503962.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2117-377732.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2118-592355.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2119-557795.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2120-585488.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2121-192064.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2122-452793.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2123-217552.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2124-124893.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2125-765090.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2126-414919.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2127-876069.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2128-793392.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2129-745221.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2130-993353.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2131-735409.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2132-534023.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2133-304196.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2134-804253.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2135-608062.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2136-725813.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2137-806399.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2138-110433.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2139-407340.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2140-945575.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2141-101869.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2142-507164.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2143-694558.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2144-375035.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2145-612802.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2146-438924.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2147-388738.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2148-787493.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2149-492958.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2150-663590.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2151-385703.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2152-717430.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2153-749039.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2154-974121.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2155-506761.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2156-785577.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2157-547896.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2158-793510.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2159-431711.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2160-243543.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2161-776013.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2162-635902.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2163-874708.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2164-674877.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2165-314801.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2166-262716.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2167-460931.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2168-955322.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2169-368234.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2170-925290.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2171-310255.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2172-163688.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2173-951688.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2174-543762.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2175-267250.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2176-901690.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2177-654212.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2178-706521.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2179-914754.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2180-880351.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2181-739040.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2182-465796.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2183-938158.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2184-830822.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2185-713672.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2186-551175.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2187-134243.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2188-435360.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2189-755049.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2190-819628.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2191-209816.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2192-667237.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2193-848282.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2194-333151.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2195-744096.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2196-977137.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2197-226532.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2198-529547.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2199-465717.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2200-437198.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2201-771927.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2202-665230.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2203-817644.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2204-448196.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2205-536315.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2206-752136.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2207-837127.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2208-121670.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2209-979028.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2210-484580.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2211-917043.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2212-532076.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2213-587902.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2214-356676.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2215-129366.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2216-301235.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2217-188880.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2218-998287.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2219-643397.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2220-354967.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2221-474177.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2222-288541.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2223-854768.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2224-712385.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2225-249063.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2226-244462.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2227-251326.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2228-809232.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2229-550365.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2230-310571.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2231-183859.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2232-487345.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2233-556341.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2234-943768.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2235-523873.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2236-945392.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2237-581396.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2238-991870.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2239-249160.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2240-352170.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2241-649675.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2242-779960.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2243-275222.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2244-450929.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2245-351493.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2246-595540.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2247-512330.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2248-945641.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2249-387012.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2250-618567.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2251-806369.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2252-841010.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2253-387904.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2254-577355.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2255-220901.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2256-230276.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2257-940285.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2258-935543.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2259-511084.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2260-717679.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2261-513857.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2262-261795.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2263-490864.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2264-514836.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2265-609427.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2266-948584.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2267-990737.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2268-384752.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2269-161286.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2270-602198.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2271-653395.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2272-432557.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2273-117187.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2274-629695.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2275-807469.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2276-941659.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2277-343713.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2278-477467.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2279-389292.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2280-520573.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2281-990267.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2282-537110.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2283-183801.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2284-121935.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2285-899014.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2286-462261.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2287-831801.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2288-475144.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2289-489055.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2290-255169.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2291-267043.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2292-742754.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2293-618641.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2294-973249.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2295-466061.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2296-314877.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2297-288376.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2298-281998.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2299-308510.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2300-345254.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2301-674693.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2302-369166.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2303-352598.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2304-350736.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2305-913158.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2306-105318.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2307-161786.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2308-555565.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2309-156776.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2310-731850.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2311-764129.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2312-274052.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2313-711623.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2314-568278.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2315-565557.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2316-661756.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2317-203983.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2318-542827.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2319-819175.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2320-567369.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2321-267628.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2322-943597.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2323-785784.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2324-184735.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2325-226548.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2326-135376.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2327-570891.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2328-551346.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2329-606347.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2330-900775.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2331-515769.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2332-944368.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2333-248823.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2334-153300.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2335-981120.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2336-529320.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2337-110566.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2338-204322.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2339-608854.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2340-401380.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2341-997178.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2342-407312.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2343-165660.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2344-147664.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2345-946541.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2346-525229.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2347-709223.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2348-971161.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2349-958419.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2350-280535.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2351-676186.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2352-921868.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2353-206985.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2354-830860.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2355-393900.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2356-394860.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2357-621113.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2358-192033.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2359-565455.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2360-240538.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2361-317869.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2362-967955.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2363-247280.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2364-780672.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2365-120205.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2366-838017.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2367-989303.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2368-372630.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2369-253215.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2370-381989.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2371-209908.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2372-918255.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2373-267415.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2374-635999.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2375-937913.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2376-854549.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2377-469539.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2378-635116.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2379-731185.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2380-816649.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2381-247764.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2382-577704.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2383-276222.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2384-618400.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2385-950006.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2386-711235.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2387-848337.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2388-307816.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2389-248636.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2390-571489.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2391-681322.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2392-942845.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2393-911420.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2394-478124.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2395-974291.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2396-540563.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2397-542881.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2398-681697.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2399-668824.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2400-331923.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2401-129346.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2402-681996.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2403-913385.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2404-914038.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2405-510273.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2406-475033.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2407-600825.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2408-786639.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2409-575476.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2410-532746.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2411-524742.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2412-528731.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2413-893722.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2414-608317.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2415-113521.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2416-626293.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2417-162417.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2418-592078.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2419-754341.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2420-756294.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2421-807296.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2422-768073.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2423-997437.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2424-219811.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2425-766311.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2426-777712.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2427-632242.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2428-168167.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2429-173141.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2430-980511.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2431-897884.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2432-264312.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2433-791355.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2434-533999.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2435-878925.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2436-693296.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2437-289386.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2438-478638.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2439-405696.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2440-277763.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2441-684268.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2442-628280.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2443-340401.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2444-624538.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2445-983244.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2446-307033.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2447-973116.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2448-556137.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2449-555429.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2450-945197.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2451-324740.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2452-908696.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2453-418314.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2454-172049.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2455-248301.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2456-585637.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2457-763700.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2458-860338.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2459-601823.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2460-770928.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2461-247190.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2462-211536.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2463-631771.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2464-232481.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2465-701040.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2466-996958.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2467-466968.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2468-497503.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2469-667054.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2470-175505.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2471-788018.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2472-570882.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2473-750031.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2474-468849.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2475-383276.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2476-301133.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2477-761339.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2478-256637.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2479-103971.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2480-334155.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2481-437232.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2482-802215.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2483-826681.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2484-532930.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2485-378657.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2486-725933.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2487-501985.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2488-766409.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2489-230425.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2490-338376.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2491-335025.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2492-702656.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2493-929419.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2494-284759.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2495-523325.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2496-958536.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2497-639430.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2498-168979.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2499-249044.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2500-319006.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2501-467291.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2502-258386.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2503-514103.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2504-409298.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2505-304807.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2506-985448.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2507-712978.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2508-873994.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2509-138859.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2510-642151.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2511-857892.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2512-931773.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2513-876793.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2514-242289.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2515-287061.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2516-769593.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2517-213744.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2518-349721.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2519-951127.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2520-771089.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2521-279121.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2522-163394.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2523-140534.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2524-283091.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2525-611342.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2526-340472.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2527-802405.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2528-794180.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2529-291492.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2530-718871.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2531-977193.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2532-323065.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2533-712085.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2534-108821.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2535-908268.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2536-506742.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2537-515545.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2538-836188.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2539-703240.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2540-276453.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2541-527447.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2542-648739.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2543-279769.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2544-381010.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2545-676392.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2546-315151.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2547-971854.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2548-948708.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2549-573693.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2550-237111.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2551-126007.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2552-664842.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2553-868547.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2554-865627.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2555-559082.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2556-878896.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2557-977776.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2558-319847.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2559-347431.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2560-571000.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2561-150941.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2562-257651.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2563-227533.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2564-451354.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2565-123898.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2566-141443.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2567-209594.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2568-986568.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2569-611421.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2570-791672.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2571-174276.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2572-185993.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2573-779535.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2574-360651.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2575-164748.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2576-711001.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2577-952719.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2578-253632.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2579-170451.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2580-962602.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2581-762196.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2582-272901.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2583-741214.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2584-896105.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2585-736621.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2586-982406.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2587-722627.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2588-482242.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2589-511126.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2590-879876.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2591-915957.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2592-723082.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2593-508929.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2594-615384.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2595-360265.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2596-794839.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2597-826160.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2598-783975.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2599-374776.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2600-451548.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2601-763553.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2602-907325.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2603-646807.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2604-537226.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2605-358212.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2606-865999.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2607-849806.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2608-239767.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2609-918123.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2610-242296.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2611-797041.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2612-942546.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2613-221095.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2614-303463.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2615-885109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2616-835478.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2617-926922.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2618-551571.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2619-258307.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2620-389155.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2621-456080.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2622-277091.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2623-755979.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2624-900036.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2625-240289.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2626-498309.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2627-782148.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2628-930982.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2629-756130.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2630-728738.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2631-558984.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2632-580923.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2633-444273.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2634-492948.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2635-856899.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2636-147945.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2637-318091.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2638-142363.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2639-489815.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2640-944061.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2641-760115.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2642-923887.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2643-996214.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2644-484782.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2645-387916.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2646-573221.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2647-863866.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2648-473055.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2649-289433.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2650-612754.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2651-255044.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2652-372392.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2653-554059.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2654-173809.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2655-943670.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2656-586466.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2657-371733.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2658-646113.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2659-950627.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2660-976161.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2661-630454.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2662-593578.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2663-706301.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2664-291614.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2665-455286.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2666-916379.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2667-830668.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2668-220737.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2669-458374.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2670-310107.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2671-704642.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2672-459073.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2673-607508.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2674-937549.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2675-709436.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2676-100580.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2677-788643.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2678-718761.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2679-556769.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2680-794891.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2681-799207.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2682-358261.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2683-308630.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2684-974836.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2685-127759.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2686-809396.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2687-904310.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2688-167177.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2689-907722.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2690-720529.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2691-114070.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2692-871360.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2693-227092.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2694-254195.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2695-574889.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2696-744725.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2697-950013.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2698-413928.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2699-174834.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2700-505110.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2701-617456.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2702-343244.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2703-796622.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2704-666525.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2705-483965.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2706-841222.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2707-355807.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2708-844745.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2709-932479.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2710-863340.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2711-296343.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2712-999917.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2713-988041.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2714-394322.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2715-263542.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2716-490333.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2717-572502.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2718-471453.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2719-712968.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2720-225599.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2721-953237.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2722-855849.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2723-595161.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2724-127873.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2725-585545.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2726-999631.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2727-911838.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2728-200110.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2729-705143.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2730-101256.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2731-824736.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2732-427764.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2733-700793.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2734-522789.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2735-256265.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2736-163936.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2737-578798.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2738-681846.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2739-743013.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2740-768118.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2741-199714.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2742-230226.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2743-516181.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2744-306808.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2745-903028.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2746-980535.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2747-334743.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2748-447122.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2749-959585.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2750-304608.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2751-317042.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2752-968123.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2753-390647.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2754-239187.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2755-169922.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2756-237260.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2757-601849.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2758-807895.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2759-960082.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2760-496456.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2761-466930.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2762-965442.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2763-982451.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2764-321203.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2765-274906.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2766-144280.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2767-389804.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2768-145708.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2769-127221.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2770-581112.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2771-305012.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2772-774426.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2773-186535.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2774-303574.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2775-862197.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2776-163005.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2777-743077.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2778-366011.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2779-198563.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2780-855090.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2781-538823.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2782-992449.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2783-960939.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2784-147509.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2785-239256.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2786-864437.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2787-521227.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2788-613195.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2789-964118.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2790-737530.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2791-435970.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2792-855566.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2793-820368.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2794-320432.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2795-968216.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2796-951897.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2797-820657.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2798-987945.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2799-371163.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2800-727185.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2801-432417.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2802-647938.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2803-976327.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2804-317036.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2805-142201.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2806-142014.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2807-157183.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2808-527219.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2809-549783.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2810-370638.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2811-632866.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2812-285047.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2813-351362.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2814-769053.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2815-861904.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2816-759906.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2817-921998.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2818-854390.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2819-769506.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2820-131550.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2821-629449.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2822-434508.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2823-876005.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2824-482641.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2825-122739.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2826-702195.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2827-377828.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2828-603086.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2829-253824.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2830-729010.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2831-203393.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2832-600706.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2833-975508.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2834-368191.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2835-862146.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2836-232108.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2837-134944.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2838-897129.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2839-628153.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2840-714131.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2841-240901.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2842-654275.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2843-956067.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2844-478220.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2845-587492.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2846-822631.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2847-817887.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2848-415070.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2849-808140.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2850-436165.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2851-564280.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2852-219696.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2853-919370.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2854-464447.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2855-402516.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2856-118138.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2857-497057.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2858-974018.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2859-253643.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2860-395308.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2861-955531.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2862-375013.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2863-561450.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2864-619786.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2865-291395.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2866-908348.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2867-482966.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2868-987451.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2869-117084.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2870-131917.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2871-559350.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2872-795472.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2873-491116.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2874-913589.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2875-361078.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2876-245193.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2877-916304.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2878-783970.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2879-623219.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2880-658471.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2881-324395.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2882-394992.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2883-499255.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2884-649512.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2885-147405.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2886-931211.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2887-871577.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2888-841028.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2889-895957.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2890-256909.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2891-975530.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2892-775419.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2893-182315.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2894-320229.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2895-478261.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2896-404419.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2897-245945.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2898-451547.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2899-224592.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2900-894105.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2901-301994.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2902-787738.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2903-808434.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2904-443375.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2905-114071.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2906-324460.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2907-219202.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2908-550045.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2909-160518.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2910-412543.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2911-596688.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2912-622232.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2913-428015.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2914-734672.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2915-677463.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2916-440185.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2917-274656.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2918-617022.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2919-885948.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2920-851454.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2921-899070.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2922-897839.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2923-643215.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2924-848538.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2925-322149.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2926-292876.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2927-897625.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2928-863805.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2929-506657.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2930-640607.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2931-539997.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2932-788387.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2933-838927.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2934-747329.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2935-946712.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2936-833040.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2937-382144.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2938-393883.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2939-388596.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2940-803146.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2941-348518.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2942-573249.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2943-355231.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2944-915443.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2945-853808.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2946-462332.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2947-134112.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2948-569950.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2949-213289.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 2950-261770.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2951-996488.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2952-251577.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2953-455079.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2954-481249.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2955-940351.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2956-144280.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2957-874286.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2958-220823.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2959-442702.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2960-788160.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2961-489280.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2962-329448.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2963-697647.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2964-622620.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2965-911748.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2966-565503.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2967-633487.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2968-170114.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2969-339635.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2970-295634.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2971-446619.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 2972-527836.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2973-642230.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2974-429951.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2975-238853.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2976-723864.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2977-265718.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2978-156000.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2979-437845.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2980-491659.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2981-419685.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2982-966284.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2983-533546.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 2984-437038.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2985-855193.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2986-521140.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2987-171760.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2988-164856.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 2989-840720.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 2990-521478.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
2991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 2991-133491.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2992-261033.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
2993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 2993-735414.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 2994-294325.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2995-568275.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2996-521542.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
2997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2997-557003.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
2998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 2998-704690.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
2999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 2999-874771.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3000-864541.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3001-746828.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3002-716418.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3003-372734.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3004-477275.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3005-730734.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3006-324443.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3007-594067.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3008-691274.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3009-743922.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3010-859695.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3011-453054.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3012-373585.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3013-284644.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3014-967719.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3015-762855.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3016-447771.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3017-628078.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3018-239127.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3019-620956.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3020-642685.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3021-116888.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3022-661738.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3023-574153.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3024-396334.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3025-723325.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3026-461076.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3027-716178.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3028-997694.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3029-384495.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3030-429438.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3031-414333.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3032-371905.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3033-380156.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3034-639566.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3035-792263.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3036-204397.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3037-381502.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3038-451943.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3039-298088.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3040-881782.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3041-822953.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3042-750750.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3043-195461.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3044-622560.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3045-339084.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3046-731745.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3047-600682.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3048-107133.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3049-811681.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3050-820678.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3051-417612.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3052-802671.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3053-865448.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3054-898104.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3055-548161.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3056-157878.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3057-699231.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3058-726913.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3059-185914.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3060-666905.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3061-408389.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3062-568501.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3063-426258.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3064-159452.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3065-363874.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3066-783560.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3067-981349.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3068-944037.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3069-564895.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3070-336132.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3071-600622.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3072-301359.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3073-866237.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3074-286085.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3075-336746.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3076-402132.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3077-380483.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3078-433677.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3079-137077.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3080-975219.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3081-198191.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3082-962804.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3083-993327.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3084-987118.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3085-764178.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3086-911723.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3087-517935.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3088-147851.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3089-440173.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3090-323034.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3091-620943.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3092-702616.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3093-197033.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3094-533015.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3095-438714.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3096-443680.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3097-209017.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3098-230635.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3099-868168.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3100-510201.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3101-603820.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3102-689576.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3103-324907.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3104-169228.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3105-441805.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3106-474350.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3107-869543.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3108-891983.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3109-111278.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3110-355916.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3111-753686.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3112-612689.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3113-416306.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3114-131424.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3115-218130.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3116-242178.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3117-404443.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3118-804950.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3119-192790.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3120-813167.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3121-396258.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3122-873205.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3123-679761.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3124-893368.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3125-892340.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3126-832365.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3127-532500.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3128-879532.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3129-528109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3130-318307.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3131-758274.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3132-755288.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3133-289896.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3134-621438.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3135-298890.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3136-170572.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3137-543721.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3138-118247.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3139-278124.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3140-739287.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3141-243805.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3142-318905.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3143-875472.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3144-989469.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3145-428180.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3146-625677.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3147-517504.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3148-936074.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3149-665965.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3150-396466.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3151-778131.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3152-998715.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3153-989473.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3154-453526.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3155-817857.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3156-739831.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3157-689507.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3158-115980.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3159-299239.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3160-999237.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3161-668644.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3162-610060.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3163-303876.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3164-341303.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3165-824825.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3166-492303.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3167-976656.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3168-681762.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3169-553979.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3170-563279.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3171-980317.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3172-209532.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3173-279762.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3174-341107.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3175-421466.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3176-638247.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3177-890061.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3178-470933.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3179-133391.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3180-956639.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3181-555634.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3182-826492.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3183-986199.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3184-520171.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3185-925325.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3186-244086.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3187-780564.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3188-251938.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3189-503102.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3190-268372.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3191-945243.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3192-365614.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3193-146096.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3194-388836.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3195-307797.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3196-579436.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3197-864857.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3198-157130.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3199-103850.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3200-244276.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3201-842395.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3202-971817.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3203-485014.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3204-533722.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3205-297678.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3206-410441.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3207-996751.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3208-966640.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3209-497605.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3210-817621.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3211-900330.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3212-213944.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3213-250632.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3214-343723.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3215-105126.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3216-482643.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3217-434703.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3218-516545.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3219-674373.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3220-675860.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3221-256523.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3222-221404.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3223-230511.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3224-382234.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3225-616153.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3226-864739.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3227-926681.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3228-885927.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3229-651008.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3230-603391.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3231-331260.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3232-751057.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3233-222124.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3234-841178.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3235-757415.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3236-352980.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3237-343291.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3238-569885.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3239-634761.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3240-338174.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3241-233548.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3242-511806.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3243-549341.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3244-396719.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3245-810572.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3246-258027.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3247-506335.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3248-422379.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3249-488151.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3250-964766.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3251-262317.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3252-144079.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3253-341917.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3254-871624.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3255-628813.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3256-273914.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3257-257655.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3258-426983.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3259-173120.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3260-290034.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3261-174314.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3262-330791.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3263-235925.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3264-919058.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3265-923231.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3266-686718.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3267-747692.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3268-924829.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3269-951261.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3270-914695.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3271-885305.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3272-558087.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3273-736005.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3274-527027.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3275-492451.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3276-945249.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3277-502516.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3278-254976.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3279-536658.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3280-675670.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3281-250168.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3282-526993.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3283-911120.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3284-599333.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3285-887715.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3286-222953.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3287-374901.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3288-418437.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3289-151885.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3290-214884.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3291-420218.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3292-843630.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3293-863391.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3294-504559.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3295-262400.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3296-239582.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3297-261187.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3298-757557.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3299-540319.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3300-693590.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3301-133212.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3302-824092.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3303-101496.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3304-878810.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3305-212727.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3306-209130.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3307-811454.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3308-393731.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3309-888001.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3310-742140.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3311-514526.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3312-609285.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3313-278496.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3314-708997.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3315-958495.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3316-380475.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3317-500288.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3318-955015.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3319-446551.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3320-901514.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3321-742513.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3322-870284.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3323-215074.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3324-311170.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3325-987134.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3326-789461.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3327-592141.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3328-355869.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3329-868898.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3330-878778.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3331-397384.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3332-231766.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3333-917979.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3334-615804.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3335-516775.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3336-841152.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3337-466410.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3338-177201.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3339-747378.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3340-374923.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3341-692382.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3342-416483.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3343-587154.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3344-697190.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3345-925615.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3346-623792.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3347-362227.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3348-740024.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3349-898561.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3350-410126.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3351-980449.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3352-869819.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3353-155771.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3354-300253.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3355-423278.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3356-162894.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3357-622721.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3358-336670.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3359-166472.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3360-396492.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3361-950341.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3362-824108.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3363-807602.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3364-419951.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3365-332974.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3366-803511.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3367-110214.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3368-990730.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3369-866997.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3370-181156.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3371-610927.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3372-398900.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3373-698591.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3374-278119.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3375-200281.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3376-585277.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3377-910606.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3378-264187.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3379-914051.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3380-152675.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3381-989163.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3382-535800.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3383-100467.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3384-735037.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3385-997225.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3386-599582.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3387-806098.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3388-540906.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3389-732651.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3390-363589.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3391-817520.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3392-281323.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3393-234608.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3394-183312.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3395-754974.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3396-523939.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3397-906017.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3398-223528.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3399-555139.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3400-389919.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3401-543374.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3402-655471.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3403-382510.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3404-739400.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3405-944903.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3406-726750.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3407-572385.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3408-193931.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3409-772920.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3410-294534.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3411-226457.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3412-440384.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3413-433605.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3414-553045.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3415-599147.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3416-578876.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3417-593655.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3418-195719.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3419-118000.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3420-103625.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3421-486927.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3422-819007.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3423-998293.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3424-733507.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3425-243896.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3426-277663.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3427-459207.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3428-666671.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3429-860023.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3430-618450.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3431-352842.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3432-137558.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3433-612864.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3434-541253.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3435-942566.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3436-332356.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3437-921847.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3438-926897.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3439-126673.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3440-704663.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3441-345546.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3442-342339.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3443-810178.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3444-630852.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3445-543193.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3446-698638.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3447-443883.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3448-301200.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3449-717303.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3450-323301.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3451-928621.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3452-923504.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3453-287799.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3454-189242.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3455-300512.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3456-900023.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3457-586153.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3458-603299.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3459-344656.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3460-219695.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3461-292034.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3462-183695.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3463-593506.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3464-545066.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3465-665031.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3466-695881.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3467-905541.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3468-576110.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3469-577756.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3470-232554.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3471-974044.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3472-437230.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3473-929790.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3474-784158.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3475-755753.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3476-478520.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3477-948349.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3478-119600.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3479-692691.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3480-531796.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3481-665892.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3482-815464.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3483-634514.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3484-584619.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3485-558118.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3486-925318.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3487-584241.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3488-595248.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3489-820944.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3490-672350.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3491-982327.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3492-157805.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3493-341096.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3494-575111.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3495-509492.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3496-367120.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3497-427945.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3498-112114.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3499-821824.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3500-950775.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3501-612334.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3502-301307.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3503-544697.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3504-473136.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3505-566908.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3506-854137.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3507-347861.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3508-812088.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3509-841741.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3510-380125.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3511-436122.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3512-952593.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3513-589878.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3514-411255.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3515-566545.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3516-285074.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3517-332442.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3518-153461.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3519-196768.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3520-493344.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3521-133710.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3522-499336.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3523-782446.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3524-732975.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3525-302774.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3526-107238.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3527-160282.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3528-376505.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3529-941558.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3530-963864.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3531-117115.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3532-961935.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3533-702454.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3534-952184.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3535-307302.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3536-484142.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3537-258491.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3538-931211.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3539-364588.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3540-495937.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3541-165313.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3542-318689.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3543-752069.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3544-427270.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3545-949989.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3546-260684.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3547-743524.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3548-971295.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3549-559562.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3550-137113.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3551-703985.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3552-861399.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3553-727284.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3554-248446.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3555-520806.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3556-557342.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3557-232327.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3558-193728.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3559-758808.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3560-575610.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3561-191848.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3562-928324.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3563-712473.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3564-913286.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3565-805007.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3566-475934.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3567-384138.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3568-881787.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3569-346733.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3570-550698.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3571-639496.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3572-583668.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3573-880082.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3574-803111.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3575-686307.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3576-125708.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3577-961989.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3578-930575.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3579-679978.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3580-857042.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3581-190331.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3582-447430.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3583-250208.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3584-183018.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3585-906474.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3586-288754.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3587-963370.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3588-195803.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3589-224805.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3590-233756.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3591-585252.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3592-651371.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3593-902587.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3594-821324.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3595-152262.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3596-615251.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3597-548573.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3598-251367.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3599-314218.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3600-362347.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3601-653497.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3602-900253.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3603-880871.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3604-574643.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3605-640391.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3606-860393.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3607-304470.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3608-593383.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3609-953019.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3610-274480.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3611-193951.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3612-777586.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3613-763163.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3614-849578.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3615-697302.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3616-765215.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3617-142399.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3618-118744.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3619-403806.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3620-595749.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3621-993257.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3622-334932.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3623-801022.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3624-549462.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3625-270263.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3626-418391.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3627-132169.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3628-359670.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3629-404256.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3630-705870.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3631-689520.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3632-963184.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3633-725596.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3634-845704.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3635-735333.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3636-895038.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3637-818221.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3638-783066.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3639-558206.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3640-834870.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3641-432252.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3642-651443.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3643-600299.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3644-393712.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3645-657053.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3646-367014.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3647-504793.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3648-127011.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3649-576751.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3650-938005.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3651-220170.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3652-270148.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3653-726243.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3654-789788.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3655-895703.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3656-999226.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3657-959047.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3658-165852.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3659-403496.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3660-603553.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3661-442074.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3662-469271.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3663-298566.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3664-759656.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3665-226710.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3666-832623.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3667-789145.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3668-587340.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3669-698030.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3670-718213.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3671-500469.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3672-434839.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3673-608048.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3674-955813.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3675-679702.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3676-876882.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3677-935717.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3678-591293.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3679-359390.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3680-704800.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3681-761475.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3682-499079.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3683-709722.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3684-937766.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3685-346081.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3686-406184.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3687-860372.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3688-854745.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3689-511419.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3690-646412.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3691-471313.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3692-520517.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3693-665852.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3694-230240.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3695-542311.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3696-915143.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3697-752744.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3698-953790.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3699-775776.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3700-341471.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3701-274050.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3702-380511.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3703-720825.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3704-884205.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3705-368678.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3706-349070.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3707-857524.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3708-801948.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3709-209870.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3710-801680.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3711-594714.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3712-991228.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3713-116132.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3714-923230.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3715-723929.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3716-307984.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3717-606814.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3718-168936.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3719-612983.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3720-696037.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3721-749499.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3722-238387.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3723-970396.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3724-110889.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3725-374457.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3726-301730.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3727-395935.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3728-642641.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3729-998572.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3730-683650.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3731-784429.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3732-425523.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3733-680044.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3734-135752.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3735-813766.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3736-924921.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3737-244979.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3738-269319.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3739-359012.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3740-852179.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3741-310816.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3742-768253.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3743-785599.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3744-880331.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3745-876202.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3746-436712.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3747-929582.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3748-495333.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3749-311122.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3750-866502.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3751-872983.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3752-343163.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3753-452880.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3754-304144.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3755-782995.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3756-508327.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3757-938077.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3758-899816.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3759-841363.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3760-869087.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3761-299050.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3762-709070.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3763-800571.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3764-229043.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3765-509823.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3766-760156.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3767-444678.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3768-799225.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3769-462337.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3770-659089.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3771-332944.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3772-503613.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3773-426405.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3774-850879.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3775-923505.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3776-993982.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3777-689778.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3778-622141.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3779-855813.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3780-940319.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3781-717859.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3782-490188.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3783-357700.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3784-326865.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3785-355012.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3786-902422.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3787-832890.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3788-436367.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3789-632623.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3790-137127.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3791-656322.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3792-651165.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3793-197926.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3794-626605.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3795-202462.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3796-506909.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3797-758415.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3798-281446.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3799-166380.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3800-664289.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3801-568836.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3802-566330.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3803-705495.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3804-675580.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3805-443474.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3806-146071.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3807-985512.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3808-694857.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3809-888612.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3810-794337.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3811-416253.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3812-498671.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3813-869791.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3814-193415.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3815-125231.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3816-362413.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3817-678142.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3818-311129.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3819-543349.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3820-583598.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3821-254971.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3822-777156.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3823-515970.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3824-520065.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3825-274262.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3826-745077.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3827-222043.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3828-868440.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3829-385876.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3830-217055.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3831-422132.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3832-965895.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3833-175090.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3834-564502.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3835-682431.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3836-755416.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3837-708162.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3838-493853.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3839-227699.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3840-945280.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3841-311624.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3842-855917.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3843-206366.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3844-456930.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3845-575702.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3846-779409.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3847-408089.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3848-734336.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3849-509502.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3850-901578.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3851-902294.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3852-859006.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3853-669090.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3854-158797.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3855-794062.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3856-430553.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3857-854429.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3858-634051.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3859-623746.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3860-691719.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3861-913668.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3862-556787.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3863-223966.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3864-187170.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3865-608048.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3866-948873.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3867-512083.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3868-774761.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3869-264949.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3870-565760.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3871-914554.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3872-321477.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3873-588189.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3874-799757.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3875-177286.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3876-236053.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3877-936069.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3878-505014.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3879-318649.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3880-501761.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3881-689567.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3882-773741.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3883-213135.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3884-868411.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3885-659352.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3886-112090.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3887-729567.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3888-271246.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3889-775000.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3890-330032.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 3891-636323.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3892-749181.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3893-387070.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3894-118739.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3895-837791.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3896-566724.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3897-831810.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3898-455538.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3899-243797.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3900-613135.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3901-985433.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3902-281259.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3903-645019.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3904-229664.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3905-712083.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3906-778704.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3907-939224.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3908-472517.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3909-358070.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3910-701545.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3911-345455.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3912-974883.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3913-573059.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3914-437203.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3915-840211.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3916-484069.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3917-813527.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3918-502515.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3919-879415.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3920-720792.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3921-563261.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3922-652701.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3923-905577.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3924-395666.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3925-463252.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3926-721937.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3927-212829.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3928-954342.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3929-109487.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3930-970250.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3931-276821.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3932-852189.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3933-442345.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3934-921056.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3935-632922.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3936-377637.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3937-790806.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 3938-200219.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3939-719345.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3940-665605.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3941-954708.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3942-841153.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3943-214034.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3944-515792.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3945-471032.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3946-613111.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3947-897785.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3948-321574.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3949-297851.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3950-851630.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3951-390331.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3952-553351.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3953-657604.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3954-513130.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3955-865018.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3956-505140.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3957-707169.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3958-461657.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3959-842640.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3960-238048.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3961-891272.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3962-218408.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3963-333257.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3964-244694.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3965-180142.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3966-183854.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3967-403322.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3968-412730.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3969-236490.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 3970-865917.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3971-883868.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3972-386779.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3973-181673.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3974-668186.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3975-465612.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3976-855631.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3977-498881.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3978-300847.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3979-682533.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3980-350300.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3981-356309.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3982-557761.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 3983-224913.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3984-500415.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3985-705712.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3986-620646.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 3987-692982.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3988-785444.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 3989-408664.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3990-161350.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
3991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3991-683049.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 3992-601145.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3993-828513.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
3994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 3994-854550.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
3995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3995-983058.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
3996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3996-618928.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3997-769138.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 3998-101922.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
3999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 3999-172786.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4000-600527.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4001-354150.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4002-229376.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4003-927522.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4004-293708.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4005-768074.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4006-446982.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4007-509334.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4008-210162.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4009-175309.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4010-820982.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4011-141057.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4012-219487.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4013-530190.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4014-623528.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4015-146202.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4016-876844.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4017-661572.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4018-220990.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4019-587097.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4020-330787.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4021-515288.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4022-892067.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4023-346225.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4024-768040.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4025-572397.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4026-178206.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4027-710668.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4028-776998.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4029-866356.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4030-931503.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4031-556470.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4032-884765.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4033-800666.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4034-195178.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4035-419119.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4036-670866.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4037-751976.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4038-930444.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4039-100435.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4040-459974.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4041-147611.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4042-602226.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4043-760949.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4044-327873.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4045-941892.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4046-293781.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4047-646408.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4048-110550.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4049-587710.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4050-283100.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4051-886517.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4052-227901.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4053-244960.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4054-743053.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4055-814816.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4056-997344.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4057-156248.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4058-970468.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4059-709700.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4060-947643.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4061-407047.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4062-114306.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4063-104652.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4064-207335.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4065-325852.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4066-727312.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4067-201425.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4068-938480.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4069-441851.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4070-783215.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4071-967179.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4072-286640.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4073-190082.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4074-360611.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4075-239777.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4076-454570.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4077-262990.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4078-127308.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4079-773401.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4080-534607.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4081-981535.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4082-873954.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4083-474831.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4084-994663.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4085-954958.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4086-951613.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4087-367720.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4088-336558.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4089-942239.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4090-931580.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4091-816110.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4092-247380.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4093-890654.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4094-417867.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4095-783348.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4096-686540.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4097-650529.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4098-529161.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4099-648526.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4100-896452.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4101-243422.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4102-199795.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4103-806738.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4104-471378.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4105-163111.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4106-266695.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4107-500458.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4108-668815.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4109-755972.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4110-421735.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4111-331762.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4112-767546.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4113-549766.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4114-604271.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4115-307123.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4116-386718.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4117-205902.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4118-692003.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4119-895549.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4120-621574.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4121-180004.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4122-834305.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4123-714393.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4124-175855.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4125-169309.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4126-840634.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4127-842306.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4128-118839.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4129-629478.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4130-816062.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4131-971125.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4132-438008.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4133-589663.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4134-510446.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4135-797955.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4136-502486.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4137-945184.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4138-407177.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4139-644600.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4140-586728.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4141-482800.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4142-619173.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4143-351375.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4144-865048.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4145-661009.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4146-797647.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4147-482200.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4148-295240.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4149-583974.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4150-640282.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4151-895293.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4152-701322.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4153-828723.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4154-904996.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4155-288605.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4156-538594.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4157-166288.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4158-623221.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4159-328951.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4160-956052.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4161-137727.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4162-894914.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4163-133993.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4164-990800.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4165-690738.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4166-476627.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4167-415078.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4168-988850.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4169-320883.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4170-673052.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4171-767906.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4172-727308.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4173-734923.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4174-622826.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4175-316249.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4176-573974.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4177-478494.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4178-474410.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4179-522895.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4180-948543.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4181-137187.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4182-830807.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4183-974454.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4184-421002.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4185-745653.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4186-166207.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4187-695901.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4188-703641.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4189-546450.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4190-236650.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4191-100444.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4192-224497.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4193-325218.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4194-477943.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4195-639262.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4196-523879.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4197-775538.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4198-365156.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4199-540830.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4200-601193.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4201-110622.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4202-148176.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4203-722100.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4204-299322.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4205-381164.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4206-166211.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4207-832386.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4208-496366.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4209-987966.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4210-474246.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4211-825458.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4212-890016.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4213-681748.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4214-716564.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4215-473833.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4216-440109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4217-500105.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4218-416152.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4219-194682.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4220-946722.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4221-207588.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4222-592567.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4223-932266.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4224-630113.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4225-821588.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4226-883082.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4227-233620.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4228-570149.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4229-590601.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4230-930539.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4231-818887.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4232-276855.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4233-867493.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4234-756975.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4235-734737.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4236-564772.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4237-829156.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4238-318979.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4239-188313.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4240-401772.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4241-274952.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4242-936115.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4243-746305.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4244-706099.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4245-678685.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4246-288673.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4247-986036.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4248-973419.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4249-766654.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4250-206228.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4251-191353.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4252-446149.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4253-779243.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4254-298833.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4255-377909.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4256-256532.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4257-607912.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4258-644953.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4259-853947.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4260-418828.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4261-597061.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4262-933327.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4263-749956.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4264-626399.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4265-476684.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4266-332379.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4267-738824.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4268-940426.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4269-148906.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4270-183545.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4271-840055.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4272-339144.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4273-176323.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4274-711798.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4275-669126.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4276-293487.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4277-304805.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4278-688684.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4279-646807.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4280-273949.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4281-211822.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4282-666381.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4283-182909.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4284-520135.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4285-185974.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4286-795337.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4287-438207.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4288-244301.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4289-310997.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4290-499197.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4291-388739.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4292-886244.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4293-528336.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4294-653137.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4295-518589.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4296-208449.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4297-142701.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4298-873845.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4299-119518.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4300-513993.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4301-498387.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4302-805420.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4303-382617.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4304-825373.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4305-947865.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4306-161127.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4307-357030.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4308-830703.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4309-528722.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4310-308448.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4311-576251.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4312-549413.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4313-487744.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4314-243494.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4315-176317.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4316-651857.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4317-882909.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4318-981308.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4319-587284.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4320-961480.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4321-581838.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4322-772478.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4323-395081.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4324-702542.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4325-344450.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4326-789841.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4327-206196.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4328-177055.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4329-998802.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4330-924152.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4331-943541.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4332-916648.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4333-198635.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4334-617910.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4335-762321.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4336-654947.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4337-683289.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4338-519387.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4339-684042.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4340-630360.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4341-873816.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4342-931489.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4343-992977.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4344-398768.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4345-895789.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4346-219458.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4347-864541.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4348-558833.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4349-874164.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4350-187111.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4351-597070.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4352-149914.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4353-930441.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4354-962413.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4355-763027.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4356-334284.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4357-680301.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4358-653461.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4359-564429.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4360-353212.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4361-370843.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4362-219742.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4363-512343.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4364-311690.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4365-376998.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4366-668014.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4367-236710.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4368-792190.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4369-276025.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4370-137010.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4371-415531.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4372-311277.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4373-103206.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4374-186571.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4375-831873.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4376-454160.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4377-836618.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4378-180447.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4379-360693.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4380-283327.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4381-633187.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4382-753694.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4383-752705.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4384-740664.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4385-820431.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4386-934553.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4387-293444.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4388-964898.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4389-824129.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4390-629784.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4391-332982.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4392-553187.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4393-252701.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4394-994928.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4395-913549.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4396-757667.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4397-208754.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4398-788833.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4399-636046.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4400-841220.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4401-816192.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4402-941944.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4403-587107.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4404-567352.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4405-278154.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4406-867240.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4407-256524.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4408-953575.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4409-796921.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4410-582972.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4411-901646.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4412-710674.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4413-365478.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4414-412536.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4415-419070.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4416-868192.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4417-567893.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4418-792621.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4419-262174.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4420-513672.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4421-308923.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4422-544869.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4423-380792.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4424-126414.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4425-756689.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4426-233559.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4427-358404.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4428-117949.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4429-594569.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4430-870018.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4431-959897.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4432-312659.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4433-696043.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4434-121454.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4435-329142.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4436-749996.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4437-642866.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4438-361806.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4439-167593.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4440-847195.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4441-959811.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4442-802150.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4443-981726.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4444-589707.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4445-283796.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4446-459388.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4447-116356.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4448-950139.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4449-157622.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4450-718528.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4451-625030.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4452-828020.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4453-268031.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4454-502456.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4455-701281.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4456-417113.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4457-697879.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4458-483486.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4459-359038.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4460-733798.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4461-197547.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4462-242358.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4463-422713.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4464-484301.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4465-228656.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4466-613940.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4467-686190.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4468-581823.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4469-525582.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4470-630833.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4471-772586.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4472-799828.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4473-999000.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4474-114939.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4475-748225.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4476-905502.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4477-378326.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4478-796776.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4479-894813.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4480-450064.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4481-869451.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4482-203336.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4483-955232.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4484-143111.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4485-141232.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4486-393669.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4487-934358.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4488-451644.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4489-482296.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4490-704477.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4491-438364.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4492-628439.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4493-205205.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4494-197855.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4495-161207.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4496-616667.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4497-655462.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4498-141461.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4499-559385.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4500-471589.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4501-372420.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4502-679232.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4503-519110.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4504-917340.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4505-957065.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4506-759648.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4507-920468.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4508-930292.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4509-685445.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4510-544633.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4511-464438.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4512-635172.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4513-938731.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4514-728127.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4515-659752.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4516-528418.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4517-243958.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4518-919338.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4519-775734.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4520-718979.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4521-202264.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4522-957130.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4523-908445.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4524-318690.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4525-596239.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4526-989728.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4527-979008.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4528-961587.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4529-706151.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4530-890025.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4531-778820.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4532-994233.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4533-780794.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4534-657233.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4535-332504.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4536-317140.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4537-366783.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4538-802180.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4539-779528.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4540-746032.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4541-604746.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4542-830832.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4543-662359.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4544-718091.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4545-203678.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4546-723260.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4547-986193.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4548-816271.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4549-175229.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4550-908636.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4551-320327.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4552-608924.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4553-480013.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4554-887366.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4555-710266.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4556-852859.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4557-207958.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4558-974309.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4559-558025.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4560-321866.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4561-118652.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4562-553789.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4563-603748.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4564-214123.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4565-572197.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4566-898730.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4567-974829.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4568-838592.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4569-607482.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4570-199222.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4571-410062.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4572-715416.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4573-935787.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4574-186491.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4575-809835.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4576-793080.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4577-729948.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4578-885780.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4579-837153.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4580-552195.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4581-902237.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4582-889299.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4583-323112.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4584-226685.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4585-582801.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4586-196208.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4587-171778.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4588-653267.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4589-981501.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4590-681782.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4591-864054.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4592-959728.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4593-135905.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4594-179570.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4595-491352.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4596-750904.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4597-595060.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4598-678491.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4599-438063.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4600-906032.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4601-501274.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4602-276274.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4603-825975.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4604-759302.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4605-574617.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4606-646921.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4607-100948.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4608-252102.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4609-177990.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4610-973835.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4611-739186.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4612-764668.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4613-531852.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4614-536794.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4615-636789.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4616-269056.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4617-781137.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4618-489135.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4619-687547.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4620-176430.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4621-973422.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4622-727659.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4623-804623.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4624-740264.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4625-115990.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4626-484198.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4627-946140.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4628-138914.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4629-245600.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4630-287990.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4631-888974.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4632-589164.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4633-890724.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4634-355206.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4635-758006.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4636-859319.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4637-450282.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4638-379761.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4639-431728.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4640-415662.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4641-589141.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4642-569669.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4643-658306.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4644-396776.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4645-539345.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4646-206499.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4647-173854.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4648-759801.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4649-649944.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4650-685958.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4651-669248.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4652-199897.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4653-161009.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4654-299486.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4655-315679.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4656-143244.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4657-287842.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4658-570771.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4659-119947.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4660-877536.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4661-278066.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4662-467857.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4663-285737.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4664-368821.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4665-287409.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4666-692283.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4667-168663.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4668-304236.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4669-827559.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4670-373860.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4671-205288.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4672-497136.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4673-910508.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4674-971418.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4675-681479.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4676-894111.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4677-626921.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4678-705229.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4679-312790.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4680-779657.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4681-636291.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4682-536723.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4683-301868.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4684-971990.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4685-850984.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4686-577842.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4687-587314.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4688-653717.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4689-804002.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4690-151720.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4691-906955.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4692-517131.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4693-150906.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4694-523424.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4695-731313.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4696-438565.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4697-333696.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4698-627905.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4699-119759.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4700-103477.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4701-569021.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4702-538152.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4703-420228.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4704-580106.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4705-657896.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4706-142484.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4707-539939.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4708-805717.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4709-279256.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4710-313988.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4711-177366.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4712-290291.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4713-422541.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4714-965506.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4715-291435.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4716-605394.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4717-873555.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4718-877148.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4719-649477.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4720-826740.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4721-579343.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4722-477607.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4723-115956.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4724-612910.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4725-722954.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4726-979162.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4727-176144.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4728-788703.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4729-696851.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4730-872025.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4731-971574.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4732-589040.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4733-426207.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4734-571459.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4735-456554.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4736-502413.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4737-305006.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4738-786224.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4739-977168.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4740-908760.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4741-978597.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4742-773319.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4743-118266.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4744-837916.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4745-567080.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4746-574450.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4747-685180.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4748-369418.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4749-125834.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4750-285963.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4751-238058.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4752-180554.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4753-501172.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4754-704533.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4755-486041.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4756-947252.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4757-546746.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4758-457454.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4759-162238.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4760-286288.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4761-325713.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4762-918566.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4763-342116.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4764-358541.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4765-627513.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4766-269079.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4767-168103.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4768-660820.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4769-283208.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4770-820190.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4771-167534.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4772-212642.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4773-348109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4774-284809.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4775-975150.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4776-917042.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4777-194470.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4778-161589.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4779-836422.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4780-577861.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4781-230115.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4782-655799.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4783-483410.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4784-207659.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4785-136933.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4786-959701.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4787-400014.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4788-155289.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4789-816940.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4790-108915.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4791-667091.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4792-564806.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4793-472177.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4794-180482.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4795-535314.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4796-292493.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4797-967430.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4798-247008.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4799-537725.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4800-958262.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4801-682009.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4802-833072.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4803-493565.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4804-580300.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4805-366870.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4806-699617.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4807-750430.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4808-686207.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4809-110388.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4810-285939.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4811-842586.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4812-485994.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4813-454391.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4814-960071.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4815-502681.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4816-692816.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4817-962772.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4818-563393.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4819-567944.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4820-402776.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4821-686980.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4822-709168.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4823-320627.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4824-693662.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4825-606890.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4826-277927.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4827-668004.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4828-453756.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4829-400907.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4830-978025.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4831-175655.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4832-688761.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4833-450708.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4834-475059.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4835-867712.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4836-971458.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4837-744440.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4838-691754.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4839-392261.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4840-109545.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4841-713008.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4842-404198.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4843-695684.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4844-494577.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4845-396098.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4846-168631.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4847-861177.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4848-267741.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4849-560780.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4850-866022.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4851-592606.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4852-631512.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4853-586250.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4854-845147.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4855-424932.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4856-328883.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4857-412702.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4858-340543.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4859-447091.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4860-213741.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4861-886073.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4862-969406.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4863-828553.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4864-659994.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4865-813128.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4866-954213.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4867-742480.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4868-435188.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4869-277415.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4870-136082.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4871-737314.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4872-130170.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4873-886332.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4874-922578.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4875-263914.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4876-458080.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4877-130203.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4878-997934.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4879-169031.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4880-162613.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4881-483352.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4882-405353.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4883-833896.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4884-948551.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4885-423499.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4886-384187.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4887-847808.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4888-747562.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4889-868051.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4890-744931.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4891-896336.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4892-359288.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4893-263568.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4894-716902.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4895-763921.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 4896-824005.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4897-629565.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4898-349791.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4899-131828.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4900-779574.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4901-312350.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4902-847048.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4903-882799.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4904-378355.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4905-792860.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4906-394614.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4907-895131.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4908-814147.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4909-911968.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4910-725044.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4911-354356.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4912-548530.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4913-839321.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4914-302526.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4915-450265.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4916-304578.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4917-177158.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4918-507275.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4919-904252.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4920-200237.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4921-519216.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4922-604502.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4923-352765.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4924-578611.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4925-650596.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4926-388180.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4927-505657.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4928-789976.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4929-356119.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4930-455390.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4931-771557.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4932-669696.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4933-315578.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4934-681593.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4935-841543.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4936-443192.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4937-448068.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4938-939983.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4939-762020.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4940-318940.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4941-822981.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4942-578220.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4943-466212.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4944-213079.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4945-226228.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4946-195881.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 4947-658589.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4948-211280.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4949-614571.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4950-720166.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4951-567487.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4952-527671.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4953-625115.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4954-656980.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4955-699327.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4956-633552.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4957-202530.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4958-921128.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4959-295538.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4960-550412.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4961-958116.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4962-362430.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4963-799926.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4964-894724.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4965-455789.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4966-189120.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4967-964412.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4968-488535.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4969-445395.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4970-779488.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4971-772548.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4972-634641.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4973-911247.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4974-899578.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4975-709474.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4976-745676.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4977-716425.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4978-449039.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4979-371315.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4980-513670.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4981-325086.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4982-822215.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4983-801535.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4984-595457.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4985-656086.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 4986-852036.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4987-933369.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4988-304268.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4989-474972.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4990-471619.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 4991-310783.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4992-773903.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 4993-649869.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 4994-715249.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
4995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4995-845963.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
4996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 4996-572121.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
4997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 4997-590234.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
4998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 4998-140475.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
4999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 4999-244274.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5000-505083.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5001-910105.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5002-864977.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5003-890374.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5004-309546.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5005-189283.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5006-911539.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5007-276191.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5008-498194.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5009-234540.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5010-959031.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5011-903042.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5012-789500.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5013-752524.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5014-184702.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5015-846541.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5016-955516.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5017-512357.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5018-794784.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5019-629913.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5020-419204.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5021-170485.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5022-800232.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5023-436173.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5024-697968.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5025-937787.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5026-121032.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5027-280116.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5028-610686.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5029-877416.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5030-282474.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5031-843662.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5032-642261.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5033-267241.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5034-825597.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5035-903987.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5036-859408.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5037-588521.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5038-699619.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5039-675334.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5040-947687.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5041-498801.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5042-600601.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5043-233345.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5044-651364.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5045-756646.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5046-706641.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5047-287174.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5048-680294.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5049-573797.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5050-130015.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5051-939856.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5052-651417.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5053-279808.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5054-128811.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5055-994956.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5056-613676.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5057-302420.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5058-373281.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5059-211529.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5060-451219.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5061-764683.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5062-826674.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5063-368326.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5064-392832.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5065-929937.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5066-633502.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5067-287131.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5068-551725.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5069-965293.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5070-698729.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5071-502408.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5072-290380.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5073-293658.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5074-387862.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5075-123307.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5076-671029.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5077-306424.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5078-336312.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5079-607269.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5080-438883.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5081-292616.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5082-618876.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5083-743342.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5084-884742.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5085-326735.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5086-352315.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5087-919424.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5088-590875.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5089-996474.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5090-924302.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5091-608606.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5092-931217.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5093-579489.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5094-902195.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5095-416282.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5096-393456.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5097-587977.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5098-199505.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5099-609952.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5100-237391.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5101-635078.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5102-470757.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5103-433430.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5104-274381.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5105-652408.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5106-948660.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5107-447484.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5108-197136.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5109-571215.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5110-836910.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5111-845196.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5112-963775.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5113-259086.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5114-456121.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5115-473287.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5116-326986.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5117-775829.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5118-222297.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5119-277099.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5120-868772.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5121-217637.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5122-924072.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5123-413912.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5124-971134.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5125-789739.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5126-408578.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5127-777656.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5128-326132.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5129-853355.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5130-515922.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5131-649408.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5132-336395.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5133-586337.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5134-942735.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5135-957674.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5136-252949.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5137-406342.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5138-321304.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5139-448646.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5140-324512.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5141-342840.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5142-434450.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5143-966689.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5144-182011.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5145-712756.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5146-467772.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5147-217173.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5148-911210.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5149-466022.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5150-513492.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5151-327704.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5152-417179.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5153-455699.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5154-631348.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5155-125676.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5156-378462.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5157-721772.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5158-945711.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5159-256646.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5160-409322.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5161-125073.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5162-883986.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5163-955891.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5164-990207.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5165-841698.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5166-923328.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5167-386800.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5168-725872.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5169-638494.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5170-476110.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5171-244445.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5172-127394.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5173-779902.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5174-699423.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5175-736043.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5176-110641.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5177-577230.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5178-152710.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5179-828802.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5180-840853.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5181-118036.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5182-841613.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5183-932436.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5184-193001.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5185-626627.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5186-409982.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5187-558832.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5188-823910.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5189-768529.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5190-674398.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5191-392380.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5192-982190.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5193-977900.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5194-426912.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5195-517018.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5196-561841.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5197-554181.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5198-128220.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5199-322066.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5200-436311.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5201-381759.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5202-555681.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5203-579895.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5204-526382.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5205-363483.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5206-830587.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5207-858730.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5208-203702.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5209-991661.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5210-298820.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5211-162226.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5212-821295.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5213-810356.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5214-324403.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5215-414881.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5216-126972.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5217-426605.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5218-365133.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5219-646129.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5220-528381.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5221-591970.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5222-975843.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5223-953715.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5224-884857.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5225-299411.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5226-135048.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5227-168906.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5228-170915.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5229-442198.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5230-569778.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5231-463601.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5232-998599.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5233-260840.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5234-855123.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5235-794532.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5236-522121.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5237-567135.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5238-359262.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5239-911166.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5240-483321.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5241-345520.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5242-274139.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5243-397085.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5244-742771.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5245-465125.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5246-714265.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5247-971655.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5248-845136.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5249-830282.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5250-529257.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5251-864923.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5252-554338.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5253-585302.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5254-151698.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5255-458065.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5256-422781.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5257-890449.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5258-724480.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5259-461725.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5260-958420.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5261-322433.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5262-636623.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5263-640566.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5264-721775.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5265-678278.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5266-380707.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5267-418364.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5268-288233.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5269-934893.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5270-481910.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5271-428663.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5272-440102.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5273-414785.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5274-927925.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5275-675720.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5276-185344.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5277-768816.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5278-551399.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5279-835315.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5280-665011.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5281-669849.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5282-767972.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5283-985407.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5284-852657.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5285-513143.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5286-939308.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5287-903914.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5288-688765.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5289-527687.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5290-239851.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5291-643620.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5292-988220.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5293-145711.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5294-700852.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5295-154717.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5296-858412.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5297-255385.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5298-677579.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5299-758761.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5300-953701.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5301-691298.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5302-591565.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5303-561265.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5304-185546.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5305-318972.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5306-996672.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5307-591993.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5308-526010.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5309-285926.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5310-269962.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5311-693946.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5312-620700.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5313-275219.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5314-443239.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5315-675201.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5316-851650.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5317-120902.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5318-232593.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5319-951857.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5320-755220.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5321-303902.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5322-770107.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5323-266214.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5324-720787.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5325-433512.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5326-468231.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5327-710529.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5328-457123.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5329-577533.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5330-285425.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5331-472485.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5332-544863.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5333-148959.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5334-626484.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5335-924416.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5336-648567.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5337-282070.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5338-721575.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5339-498215.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5340-700362.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5341-464683.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5342-118322.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5343-314964.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5344-734273.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5345-628226.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5346-332251.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5347-759641.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5348-420643.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5349-661288.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5350-470038.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5351-268242.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5352-281885.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5353-927793.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5354-823168.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5355-534728.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5356-890167.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5357-939358.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5358-437156.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5359-975315.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5360-799843.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5361-929053.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5362-610161.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5363-147669.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5364-676084.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5365-863836.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5366-600690.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5367-645706.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5368-637185.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5369-653579.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5370-224397.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5371-474092.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5372-550218.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5373-463106.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5374-273790.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5375-806069.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5376-505638.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5377-265655.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5378-366823.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5379-592423.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5380-532479.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5381-102273.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5382-491200.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5383-695869.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5384-773357.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5385-283768.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5386-229849.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5387-297833.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5388-194143.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5389-361922.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5390-100546.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5391-465766.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5392-285942.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5393-363249.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5394-429590.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5395-829428.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5396-338551.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5397-235884.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5398-833920.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5399-823243.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5400-484221.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5401-663974.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5402-881931.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5403-282812.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5404-227829.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5405-576828.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5406-569802.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5407-210226.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5408-171247.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5409-654151.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5410-333936.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5411-143099.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5412-834897.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5413-621888.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5414-484167.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5415-318972.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5416-272249.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5417-361054.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5418-861045.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5419-704894.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5420-809836.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5421-642082.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5422-300956.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5423-931379.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5424-444474.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5425-753216.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5426-905109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5427-136355.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5428-223943.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5429-197224.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5430-322723.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5431-119182.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5432-746210.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5433-560410.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5434-412923.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5435-852095.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5436-128692.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5437-590890.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5438-737986.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5439-126314.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5440-383078.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5441-671536.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5442-825983.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5443-997127.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5444-376685.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5445-576206.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5446-220964.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5447-127214.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5448-129485.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5449-815919.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5450-466533.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5451-152383.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5452-615362.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5453-831185.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5454-967331.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5455-414640.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5456-294831.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5457-687688.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5458-535402.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5459-774606.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5460-132638.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5461-899804.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5462-142697.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5463-261848.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5464-542401.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5465-441242.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5466-203248.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5467-525986.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5468-524324.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5469-515746.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5470-161132.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5471-181562.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5472-745215.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5473-185230.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5474-659229.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5475-891812.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5476-468864.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5477-419635.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5478-678519.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5479-509522.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5480-573521.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5481-172430.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5482-137629.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5483-187727.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5484-924899.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5485-518649.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5486-885033.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5487-156419.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5488-956096.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5489-290417.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5490-321005.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5491-754680.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5492-153408.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5493-443387.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5494-476096.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5495-670113.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5496-660773.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5497-279677.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5498-202260.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5499-789601.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5500-808361.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5501-100606.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5502-630197.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5503-907399.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5504-195555.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5505-969573.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5506-113664.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5507-367129.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5508-543772.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5509-490195.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5510-372235.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5511-193449.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5512-348124.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5513-167151.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5514-689311.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5515-757987.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5516-455889.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5517-655284.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5518-956565.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5519-932861.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5520-304512.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5521-641316.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5522-201353.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5523-567043.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5524-493934.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5525-981366.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5526-835485.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5527-481381.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5528-891084.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5529-867832.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5530-478947.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5531-640077.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5532-745520.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5533-503662.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5534-813052.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5535-385860.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5536-266260.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5537-999850.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5538-305767.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5539-758587.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5540-792099.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5541-523346.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5542-364275.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5543-852248.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5544-833397.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5545-732758.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5546-224320.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5547-717734.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5548-335797.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5549-427631.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5550-942192.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5551-680594.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5552-365015.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5553-241134.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5554-809366.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5555-961210.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5556-361351.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5557-849754.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5558-325192.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5559-306272.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5560-608475.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5561-607081.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5562-915883.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5563-803172.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5564-255698.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5565-826453.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5566-930653.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5567-661473.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5568-298522.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5569-378211.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5570-540750.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5571-979143.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5572-838560.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5573-840094.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5574-634538.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5575-722345.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5576-255199.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5577-345551.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5578-991520.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5579-484091.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5580-650240.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5581-601691.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5582-501496.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5583-394121.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5584-599808.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5585-934552.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5586-981865.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5587-238036.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5588-547888.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5589-850235.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5590-505869.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5591-247232.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5592-323484.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5593-194732.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5594-736898.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5595-123704.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5596-574141.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5597-145866.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5598-542084.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5599-153105.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5600-565633.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5601-930679.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5602-869331.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5603-181742.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5604-165814.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5605-547520.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5606-205008.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5607-774855.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5608-386065.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5609-744236.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5610-578817.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5611-868632.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5612-702628.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5613-554352.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5614-288413.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5615-294612.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5616-869527.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5617-873738.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5618-537436.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5619-876737.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5620-795819.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5621-399302.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5622-543357.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5623-302800.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5624-321881.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5625-624358.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5626-260762.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5627-899164.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5628-504374.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5629-671561.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5630-681969.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5631-717247.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5632-996126.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5633-334032.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5634-289369.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5635-536927.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5636-955603.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5637-621381.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5638-647308.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5639-998205.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5640-647329.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5641-645664.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5642-145037.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5643-464291.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5644-412895.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5645-173263.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5646-908918.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5647-739323.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5648-312277.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5649-555513.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5650-109077.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5651-129713.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5652-373893.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5653-382990.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5654-996948.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5655-969103.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5656-210113.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5657-652364.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5658-597288.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5659-155496.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5660-393307.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5661-507290.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5662-683966.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5663-519811.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5664-684943.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5665-523975.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5666-558445.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5667-985975.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5668-804657.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5669-953132.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5670-835932.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5671-136473.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5672-635029.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5673-206791.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5674-136702.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5675-547928.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5676-503899.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5677-834189.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5678-457820.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5679-317438.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5680-504769.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5681-605848.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5682-692635.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5683-439326.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5684-205702.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5685-408120.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5686-683081.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5687-881960.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5688-573771.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5689-434879.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5690-529219.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5691-566646.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5692-413676.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5693-388668.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5694-654654.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5695-927252.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5696-201579.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5697-388214.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5698-616607.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5699-741293.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5700-925880.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5701-149303.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5702-731222.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5703-486034.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5704-420400.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5705-409652.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5706-751313.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5707-792725.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5708-832288.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5709-380923.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5710-909150.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5711-142128.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5712-908291.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5713-267845.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5714-349934.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5715-964548.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5716-606995.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5717-656220.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5718-513273.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5719-335755.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5720-721435.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5721-602951.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5722-346793.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5723-168665.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5724-264512.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5725-404952.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5726-742362.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5727-278908.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5728-188662.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5729-682460.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5730-431783.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5731-581214.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5732-535769.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5733-164990.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5734-203153.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5735-969034.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5736-314654.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5737-962910.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5738-622066.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5739-864309.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5740-499196.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5741-862832.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5742-569346.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5743-360491.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5744-110858.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5745-364423.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5746-676098.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5747-300631.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5748-182019.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5749-344010.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5750-146937.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5751-578831.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5752-974025.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5753-851293.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5754-867844.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5755-261935.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5756-964697.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5757-896556.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5758-678130.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5759-829865.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5760-929580.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5761-440209.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5762-995945.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5763-918506.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5764-838927.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5765-678560.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5766-514942.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5767-191783.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5768-116499.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5769-835448.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5770-220457.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5771-984237.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5772-408836.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5773-321486.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5774-106843.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5775-289156.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5776-728247.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5777-460339.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5778-459570.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5779-101995.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5780-224419.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5781-855617.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5782-692715.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5783-638756.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5784-699785.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5785-536698.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5786-703790.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5787-159591.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5788-347041.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5789-498768.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5790-915488.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5791-883374.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5792-853334.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5793-332462.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5794-993535.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5795-665518.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5796-147937.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5797-661531.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5798-621306.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5799-323704.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5800-988713.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5801-329573.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5802-521877.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5803-327665.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5804-731336.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5805-582704.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5806-948764.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5807-168020.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5808-410319.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5809-140901.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5810-459649.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5811-300776.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5812-327931.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5813-538684.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5814-580045.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5815-999405.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5816-192508.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5817-917074.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5818-823476.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5819-190591.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5820-668251.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5821-223745.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5822-118695.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5823-992929.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5824-733149.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5825-805298.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5826-369699.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5827-694917.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5828-375248.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5829-237652.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5830-420551.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5831-354279.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5832-963981.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5833-408729.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5834-613204.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5835-368018.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5836-402789.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5837-930677.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5838-652293.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5839-238738.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5840-289952.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5841-949437.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5842-428001.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5843-810262.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5844-426377.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5845-616375.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5846-725333.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5847-814671.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5848-585726.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5849-156118.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5850-181382.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5851-648980.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5852-549311.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5853-521402.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5854-238434.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5855-591961.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5856-597257.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5857-726329.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5858-200483.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5859-700131.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5860-656495.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5861-132776.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5862-155305.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5863-168212.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5864-894890.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5865-143083.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5866-171290.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5867-350515.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5868-966168.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5869-461624.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5870-341692.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5871-127730.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5872-218739.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5873-388701.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5874-449767.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5875-289576.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5876-970800.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5877-400768.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5878-360269.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5879-143932.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5880-978354.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5881-987242.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5882-271719.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5883-681888.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5884-407423.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5885-730388.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5886-831213.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5887-676858.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5888-913950.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5889-158883.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5890-161822.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5891-428309.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5892-169003.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5893-981196.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5894-923108.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5895-396385.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5896-448621.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5897-512447.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5898-920687.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5899-158830.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5900-849636.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5901-840509.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5902-898437.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5903-253651.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5904-312286.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5905-488678.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5906-822603.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5907-522971.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5908-930669.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5909-305136.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5910-690425.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5911-210085.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5912-213168.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5913-427565.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5914-352141.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5915-950220.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5916-290240.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5917-995868.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5918-159543.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5919-905295.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5920-950430.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5921-639112.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5922-359235.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5923-637738.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5924-734339.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5925-721915.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5926-796780.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5927-799214.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5928-245939.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5929-954043.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5930-324125.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5931-615945.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5932-634765.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5933-345866.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5934-461632.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5935-161945.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5936-759135.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5937-850173.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5938-140853.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5939-642047.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5940-653159.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5941-258735.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 5942-262221.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5943-875132.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5944-344581.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5945-299479.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5946-559646.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5947-809377.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5948-653890.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5949-217270.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5950-928730.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5951-324544.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5952-819709.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 5953-380859.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5954-365734.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5955-382856.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5956-598178.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5957-706546.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5958-248995.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5959-954054.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5960-227760.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5961-243757.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5962-625542.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5963-324321.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5964-209931.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5965-354260.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 5966-558411.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5967-704147.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5968-863131.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5969-291364.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5970-688845.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5971-366957.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5972-857094.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5973-620960.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5974-581460.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5975-756664.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5976-548941.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5977-293889.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5978-329162.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5979-210316.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 5980-267836.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5981-316858.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5982-235065.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 5983-647377.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5984-919585.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5985-950607.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5986-784886.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5987-324755.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5988-804726.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5989-559435.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5990-714597.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 5991-384264.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
5992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5992-603148.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
5993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5993-737990.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5994-587991.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 5995-146428.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 5996-403759.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
5997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5997-411942.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
5998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 5998-609995.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
5999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 5999-700048.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6000-117114.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6001-757047.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6002-439082.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6003-957088.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6004-615160.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6005-546638.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6006-422741.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6007-571704.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6008-699714.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6009-685311.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6010-181537.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6011-596249.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6012-541122.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6013-173125.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6014-510949.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6015-292306.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6016-864069.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6017-485981.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6018-345669.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6019-615519.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6020-143234.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6021-790465.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6022-994403.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6023-966153.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6024-380887.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6025-324459.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6026-129746.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6027-662794.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6028-142346.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6029-747818.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6030-826250.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6031-975978.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6032-203812.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6033-975552.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6034-903589.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6035-715776.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6036-275843.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6037-132609.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6038-969046.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6039-702356.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6040-179172.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6041-189770.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6042-191619.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6043-791514.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6044-444913.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6045-369739.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6046-480359.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6047-618736.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6048-805962.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6049-348303.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6050-278693.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6051-585465.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6052-447086.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6053-809953.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6054-886700.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6055-795127.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6056-966154.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6057-577600.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6058-119578.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6059-403795.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6060-956587.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6061-272081.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6062-614255.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6063-373296.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6064-953408.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6065-969427.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6066-471545.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6067-886449.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6068-156976.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6069-188017.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6070-999307.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6071-481981.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6072-839203.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6073-964165.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6074-184501.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6075-210808.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6076-638235.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6077-341287.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6078-778899.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6079-138952.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6080-293564.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6081-861403.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6082-616578.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6083-861856.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6084-247935.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6085-723088.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6086-331264.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6087-997926.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6088-375045.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6089-809017.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6090-848873.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6091-161557.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6092-370541.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6093-381550.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6094-790374.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6095-554240.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6096-865701.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6097-418434.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6098-927406.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6099-202165.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6100-703956.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6101-649953.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6102-284565.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6103-145520.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6104-983465.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6105-112073.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6106-643693.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6107-990354.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6108-328241.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6109-934454.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6110-289098.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6111-781214.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6112-354753.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6113-332593.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6114-319275.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6115-569249.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6116-349671.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6117-117292.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6118-149347.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6119-848844.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6120-718910.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6121-391616.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6122-495036.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6123-411641.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6124-995401.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6125-426567.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6126-579871.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6127-470361.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6128-594405.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6129-660345.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6130-629830.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6131-636600.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6132-746571.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6133-229760.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6134-432780.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6135-426744.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6136-839689.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6137-821544.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6138-769481.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6139-784579.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6140-424764.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6141-225430.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6142-718893.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6143-837956.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6144-912765.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6145-188710.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6146-244769.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6147-167635.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6148-423441.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6149-686494.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6150-650958.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6151-511747.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6152-350960.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6153-103904.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6154-328970.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6155-153534.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6156-441539.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6157-910749.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6158-796086.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6159-871605.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6160-870962.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6161-700686.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6162-814715.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6163-381208.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6164-231553.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6165-586170.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6166-922232.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6167-244330.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6168-968353.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6169-940488.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6170-347089.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6171-317889.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6172-237872.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6173-164546.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6174-551449.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6175-525898.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6176-386086.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6177-664982.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6178-939658.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6179-343773.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6180-362482.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6181-347701.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6182-375184.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6183-426968.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6184-206219.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6185-718506.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6186-196637.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6187-987196.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6188-923235.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6189-656594.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6190-111955.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6191-566466.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6192-248387.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6193-465405.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6194-385214.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6195-827285.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6196-831819.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6197-633840.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6198-122441.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6199-642421.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6200-529113.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6201-571158.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6202-158759.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6203-450838.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6204-809444.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6205-627064.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6206-463910.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6207-625503.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6208-106381.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6209-491415.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6210-756893.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6211-849313.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6212-359587.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6213-760213.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6214-225879.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6215-785560.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6216-576409.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6217-211583.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6218-310788.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6219-416018.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6220-865837.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6221-381699.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6222-271436.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6223-235233.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6224-734571.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6225-343023.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6226-766522.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6227-190493.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6228-724753.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6229-909804.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6230-173060.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6231-577178.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6232-588214.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6233-996099.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6234-145415.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6235-572086.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6236-743559.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6237-485670.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6238-218837.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6239-645447.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6240-592453.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6241-175351.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6242-228197.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6243-324474.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6244-818664.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6245-896658.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6246-640211.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6247-523309.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6248-583531.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6249-883842.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6250-515633.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6251-834182.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6252-285515.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6253-369986.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6254-449310.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6255-845977.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6256-895871.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6257-322381.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6258-275895.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6259-315514.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6260-395192.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6261-923557.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6262-859391.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6263-115074.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6264-639412.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6265-465613.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6266-985246.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6267-738652.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6268-850736.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6269-731765.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6270-921975.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6271-846022.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6272-333898.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6273-151401.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6274-109111.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6275-233183.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6276-787276.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6277-709438.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6278-337068.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6279-469587.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6280-796153.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6281-796792.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6282-504792.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6283-907789.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6284-126288.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6285-431488.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6286-855168.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6287-832244.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6288-291717.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6289-441976.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6290-834506.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6291-106152.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6292-529409.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6293-954858.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6294-570944.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6295-546043.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6296-175032.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6297-982479.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6298-161101.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6299-330460.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6300-203137.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6301-398754.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6302-894371.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6303-212421.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6304-625888.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6305-871891.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6306-758069.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6307-378698.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6308-820701.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6309-661708.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6310-904242.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6311-902422.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6312-644214.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6313-402030.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6314-115261.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6315-979297.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6316-685655.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6317-550203.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6318-741024.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6319-837615.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6320-675393.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6321-659398.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6322-903090.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6323-898175.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6324-688469.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6325-603189.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6326-127577.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6327-211591.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6328-464617.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6329-917421.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6330-881409.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6331-875716.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6332-443830.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6333-561298.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6334-301915.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6335-559068.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6336-533913.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6337-825950.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6338-347348.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6339-251622.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6340-995021.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6341-657190.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6342-271443.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6343-379646.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6344-702284.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6345-692647.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6346-862830.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6347-457616.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6348-704690.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6349-882310.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6350-115915.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6351-659526.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6352-982623.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6353-543457.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6354-488971.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6355-352567.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6356-603899.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6357-558002.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6358-156027.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6359-993064.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6360-685606.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6361-608719.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6362-303428.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6363-529340.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6364-804778.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6365-510734.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6366-635000.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6367-636718.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6368-996058.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6369-467031.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6370-205515.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6371-705155.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6372-663423.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6373-560233.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6374-985465.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6375-821147.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6376-218386.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6377-392207.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6378-925734.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6379-613267.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6380-547967.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6381-685486.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6382-571633.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6383-839682.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6384-974961.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6385-429769.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6386-298040.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6387-667119.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6388-244310.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6389-825392.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6390-941991.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6391-856422.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6392-387988.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6393-374758.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6394-636459.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6395-996162.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6396-429364.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6397-729833.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6398-317396.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6399-277993.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6400-237482.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6401-818520.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6402-983446.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6403-656712.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6404-541565.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6405-217275.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6406-931425.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6407-471524.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6408-143914.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6409-908926.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6410-614021.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6411-148797.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6412-211214.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6413-678803.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6414-403518.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6415-968528.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6416-264691.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6417-555280.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6418-600905.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6419-944254.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6420-886443.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6421-491621.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6422-781464.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6423-740546.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6424-695619.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6425-145716.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6426-236892.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6427-729446.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6428-230674.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6429-644138.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6430-738544.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6431-702165.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6432-668879.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6433-990613.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6434-591173.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6435-790767.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6436-356931.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6437-355291.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6438-728411.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6439-527712.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6440-846389.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6441-252788.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6442-565024.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6443-653209.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6444-721815.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6445-104773.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6446-924007.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6447-787998.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6448-147078.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6449-818054.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6450-975979.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6451-124153.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6452-765704.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6453-195199.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6454-831758.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6455-205722.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6456-428227.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6457-186738.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6458-577996.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6459-775543.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6460-289307.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6461-362299.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6462-146704.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6463-325453.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6464-724869.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6465-786924.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6466-221115.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6467-263549.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6468-110577.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6469-466542.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6470-673127.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6471-419689.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6472-106692.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6473-133637.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6474-205055.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6475-607926.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6476-927456.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6477-547049.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6478-596217.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6479-276244.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6480-282039.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6481-428165.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6482-560796.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6483-540818.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6484-655845.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6485-520289.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6486-804781.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6487-892714.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6488-865925.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6489-928441.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6490-863224.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6491-491370.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6492-669251.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6493-831853.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6494-968609.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6495-785155.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6496-188701.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6497-142572.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6498-796026.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6499-531130.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6500-585355.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6501-864011.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6502-601171.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6503-812928.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6504-844771.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6505-109050.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6506-868000.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6507-169672.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6508-845799.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6509-451587.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6510-176777.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6511-300817.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6512-898808.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6513-641723.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6514-144637.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6515-457542.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6516-136732.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6517-444055.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6518-286874.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6519-693499.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6520-839425.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6521-687684.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6522-473665.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6523-546404.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6524-842191.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6525-944726.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6526-473935.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6527-188489.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6528-321700.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6529-512637.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6530-183811.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6531-309117.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6532-589335.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6533-284481.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6534-204904.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6535-992832.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6536-892723.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6537-730054.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6538-833387.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6539-484262.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6540-541032.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6541-254403.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6542-748137.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6543-828984.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6544-200569.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6545-233782.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6546-393236.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6547-130184.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6548-527053.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6549-371913.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6550-972987.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6551-480006.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6552-372610.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6553-962466.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6554-750959.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6555-658220.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6556-182822.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6557-169904.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6558-383547.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6559-714024.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6560-805763.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6561-573213.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6562-105397.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6563-290698.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6564-108987.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6565-440383.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6566-927364.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6567-357450.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6568-273148.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6569-986688.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6570-715910.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6571-684445.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6572-916079.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6573-456707.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6574-279202.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6575-560126.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6576-316104.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6577-878961.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6578-466182.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6579-682889.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6580-833432.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6581-921620.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6582-832190.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6583-849164.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6584-660990.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6585-532478.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6586-517909.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6587-198203.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6588-966639.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6589-384615.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6590-475241.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6591-826846.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6592-293261.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6593-538831.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6594-935867.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6595-130959.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6596-640397.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6597-344509.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6598-915743.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6599-172911.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6600-964360.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6601-416853.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6602-142171.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6603-457440.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6604-850401.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6605-172056.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6606-813757.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6607-174375.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6608-506727.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6609-572131.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6610-756286.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6611-266301.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6612-174812.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6613-818177.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6614-695632.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6615-836935.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6616-507119.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6617-763630.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6618-800945.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6619-768942.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6620-908576.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6621-716573.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6622-383629.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6623-499823.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6624-633580.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6625-319328.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6626-285773.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6627-155975.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6628-763559.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6629-167809.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6630-802982.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6631-604332.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6632-743106.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6633-958348.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6634-816362.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6635-414297.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6636-916846.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6637-624096.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6638-987762.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6639-171182.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6640-436508.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6641-959775.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6642-723032.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6643-950676.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6644-609962.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6645-263315.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6646-544921.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6647-440900.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6648-395915.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6649-398289.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6650-266205.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6651-365713.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6652-596175.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6653-920720.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6654-804354.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6655-220636.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6656-568563.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6657-727606.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6658-477527.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6659-210396.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6660-464583.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6661-767461.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6662-484526.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6663-510533.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6664-339587.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6665-628203.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6666-675545.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6667-526855.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6668-838875.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6669-827579.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6670-531134.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6671-794761.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6672-232459.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6673-834870.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6674-659541.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6675-680277.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6676-838750.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6677-948801.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6678-298496.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6679-568780.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6680-574530.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6681-616847.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6682-201189.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6683-769008.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6684-401262.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6685-697795.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6686-189247.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6687-725795.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6688-811214.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6689-111090.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6690-691631.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6691-416056.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6692-790737.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6693-844707.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6694-511940.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6695-305747.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6696-206640.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6697-892595.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6698-566961.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6699-459957.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6700-121691.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6701-789997.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6702-609748.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6703-673991.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6704-358016.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 6705-646367.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6706-940696.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6707-634014.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6708-813209.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6709-427076.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6710-836194.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6711-662760.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6712-630886.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6713-576785.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6714-533889.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6715-870629.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6716-697804.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6717-564269.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6718-104189.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6719-962433.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6720-848663.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6721-281691.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6722-258368.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6723-553932.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6724-247631.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6725-652017.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6726-249111.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6727-159352.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6728-492665.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6729-165559.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6730-898438.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6731-572831.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6732-346282.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6733-905445.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6734-137849.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6735-650566.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6736-338775.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6737-955594.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6738-929153.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6739-838982.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6740-101835.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6741-298996.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6742-984265.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6743-540870.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6744-422488.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6745-285155.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6746-319556.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6747-107357.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6748-871910.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6749-201222.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6750-311030.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6751-970673.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6752-152915.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6753-174227.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6754-989541.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6755-891126.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6756-955121.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6757-826926.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6758-210380.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6759-480604.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6760-969329.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6761-157077.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6762-453033.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6763-463381.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6764-294797.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6765-877978.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6766-222762.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6767-625621.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6768-206635.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6769-940457.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6770-748512.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6771-444364.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6772-529405.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6773-101041.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6774-108181.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6775-907712.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6776-962746.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6777-522262.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6778-988197.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6779-451452.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6780-662329.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6781-117497.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6782-146498.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6783-967701.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6784-232589.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6785-995666.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6786-473984.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6787-621297.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6788-276649.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6789-442546.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6790-837320.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6791-847457.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6792-767797.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6793-438422.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6794-490322.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6795-873190.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6796-334582.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6797-724139.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6798-227534.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6799-703316.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6800-539557.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6801-538244.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6802-452880.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6803-642004.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6804-959020.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6805-170030.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6806-259522.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6807-255301.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6808-272296.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6809-784842.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6810-879989.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6811-908530.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6812-748983.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6813-981358.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6814-368182.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6815-171594.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6816-190454.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6817-955891.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6818-309361.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6819-867870.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6820-857586.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6821-268686.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6822-461311.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6823-388728.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6824-508659.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6825-911633.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6826-247470.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6827-248316.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6828-708848.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6829-629696.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6830-758452.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6831-634097.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6832-309287.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6833-776084.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6834-541206.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6835-386101.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6836-248151.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6837-813136.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6838-913728.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6839-257423.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6840-633831.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6841-724822.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6842-203385.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6843-885632.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6844-812427.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6845-451252.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6846-161877.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6847-197882.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6848-646663.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6849-248375.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6850-373213.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6851-495833.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6852-207871.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6853-693832.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6854-271079.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6855-201769.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6856-845717.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6857-268702.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6858-999541.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6859-483556.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6860-392152.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6861-503220.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6862-548182.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6863-659696.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6864-434344.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6865-631978.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6866-277514.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6867-744574.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6868-238515.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6869-469617.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6870-629166.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6871-393314.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6872-878786.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6873-985419.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6874-706629.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6875-277215.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6876-685735.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6877-656692.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 6878-583003.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6879-617788.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6880-649406.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6881-518998.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6882-838547.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6883-287501.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6884-543096.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6885-525402.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6886-723085.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6887-549301.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6888-475571.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6889-608639.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6890-954106.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6891-134699.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6892-901191.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6893-752899.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6894-227595.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6895-507729.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6896-284694.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6897-942946.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6898-634628.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6899-378245.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6900-566711.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6901-314811.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6902-848548.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6903-780663.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6904-498379.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6905-793425.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6906-321207.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6907-155811.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6908-639661.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6909-884025.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6910-491992.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6911-607083.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6912-616821.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6913-826659.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6914-661202.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6915-322778.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6916-243588.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6917-356529.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6918-452204.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6919-216286.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6920-866898.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6921-854585.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6922-672561.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6923-372574.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6924-656794.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6925-311023.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6926-657159.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6927-519283.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6928-908370.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6929-110347.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6930-459726.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6931-230044.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6932-471529.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6933-642235.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6934-831601.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6935-756619.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6936-737941.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6937-955298.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6938-853462.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6939-252082.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6940-362583.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6941-384044.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6942-271204.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6943-716017.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6944-875630.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6945-262879.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6946-917289.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6947-360171.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6948-428709.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6949-412362.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6950-290788.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6951-782366.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6952-688874.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6953-373836.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6954-162626.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6955-362496.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6956-202386.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6957-686069.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6958-310467.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6959-986211.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6960-579616.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6961-231911.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6962-812973.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6963-723228.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6964-630922.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6965-225644.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6966-147666.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6967-772111.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6968-593668.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6969-939848.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6970-749613.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6971-240277.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6972-342015.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6973-196531.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6974-318385.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6975-864053.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6976-216176.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6977-526222.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6978-223478.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6979-306314.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6980-882291.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6981-275942.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6982-791593.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6983-910218.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 6984-502031.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6985-887995.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6986-891104.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6987-576540.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6988-365453.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6989-824489.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6990-308327.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 6991-187411.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 6992-470138.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 6993-770076.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
6994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 6994-352745.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 6995-147612.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
6996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 6996-747961.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
6997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6997-128978.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
6998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6998-644118.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
6999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 6999-927204.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7000-698203.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7001-175531.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7002-657831.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7003-160875.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7004-352792.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7005-315430.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7006-261014.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7007-747671.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7008-355823.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7009-360012.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7010-515859.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7011-484059.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7012-254415.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7013-968835.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7014-523785.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7015-420634.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7016-366779.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7017-221712.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7018-529306.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7019-640893.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7020-595058.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7021-290075.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7022-972862.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7023-737434.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7024-335261.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7025-711967.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7026-888654.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7027-509003.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7028-289415.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7029-743382.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7030-175135.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7031-400846.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7032-117192.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7033-399467.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7034-664883.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7035-976499.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7036-164663.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7037-914284.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7038-647632.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7039-828183.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7040-623885.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7041-554459.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7042-771139.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7043-313727.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7044-326945.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7045-502346.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7046-776567.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7047-869667.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7048-290033.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7049-161449.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7050-450078.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7051-524975.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7052-417724.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7053-737863.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7054-909256.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7055-879851.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7056-355900.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7057-449560.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7058-567372.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7059-254006.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7060-682274.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7061-249954.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7062-352457.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7063-401393.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7064-472904.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7065-768623.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7066-542722.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7067-952298.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7068-826672.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7069-258983.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7070-617137.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7071-884515.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7072-106456.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7073-115017.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7074-518075.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7075-944687.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7076-387159.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7077-361800.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7078-586871.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7079-652675.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7080-104831.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7081-470717.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7082-512647.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7083-553625.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7084-856595.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7085-222335.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7086-236114.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7087-718798.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7088-187644.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7089-786681.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7090-686635.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7091-172177.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7092-998644.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7093-602667.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7094-691508.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7095-118771.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7096-560665.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7097-995838.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7098-685071.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7099-881892.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7100-236730.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7101-914655.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7102-392769.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7103-444668.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7104-526790.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7105-753454.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7106-560638.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7107-499896.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7108-776219.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7109-110653.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7110-548525.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7111-188139.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7112-748747.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7113-183760.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7114-842096.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7115-635994.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7116-816338.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7117-677592.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7118-401311.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7119-923059.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7120-679701.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7121-161281.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7122-938898.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7123-505919.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7124-755660.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7125-909731.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7126-991950.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7127-799188.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7128-430823.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7129-325227.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7130-576604.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7131-712687.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7132-960141.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7133-196468.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7134-401960.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7135-255848.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7136-722502.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7137-284067.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7138-849551.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7139-613628.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7140-447677.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7141-216990.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7142-806914.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7143-266417.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7144-958099.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7145-193211.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7146-180245.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7147-114010.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7148-912841.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7149-244920.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7150-726932.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7151-136238.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7152-556334.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7153-682624.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7154-700741.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7155-671414.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7156-274648.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7157-750139.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7158-357944.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7159-684043.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7160-480614.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7161-331366.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7162-209418.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7163-171659.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7164-159257.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7165-137162.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7166-295460.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7167-324835.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7168-431832.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7169-719981.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7170-665538.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7171-514575.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7172-371426.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7173-565362.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7174-406769.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7175-735777.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7176-401974.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7177-333357.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7178-113859.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7179-382306.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7180-443034.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7181-469958.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7182-900709.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7183-952054.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7184-164839.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7185-361798.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7186-346472.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7187-143041.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7188-609669.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7189-615231.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7190-946302.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7191-359363.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7192-572087.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7193-566935.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7194-477070.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7195-519648.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7196-676944.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7197-404726.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7198-971037.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7199-696302.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7200-161712.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7201-264893.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7202-954664.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7203-615518.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7204-575431.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7205-374567.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7206-323220.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7207-880914.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7208-772560.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7209-299006.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7210-156238.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7211-862884.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7212-701105.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7213-822776.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7214-794321.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7215-371603.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7216-927004.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7217-741219.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7218-764138.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7219-373842.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7220-281998.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7221-679323.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7222-595297.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7223-314315.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7224-238781.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7225-919070.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7226-962924.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7227-904427.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7228-753794.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7229-313734.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7230-679335.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7231-534597.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7232-685954.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7233-261411.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7234-686704.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7235-517333.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7236-880290.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7237-590150.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7238-305840.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7239-384893.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7240-805740.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7241-656320.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7242-492673.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7243-402230.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7244-348072.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7245-932184.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7246-359379.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7247-405623.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7248-450519.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7249-600944.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7250-609621.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7251-964724.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7252-377438.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7253-716945.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7254-476626.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7255-316922.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7256-565925.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7257-710911.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7258-251189.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7259-321511.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7260-384449.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7261-348718.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7262-164826.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7263-330608.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7264-893828.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7265-125371.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7266-339129.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7267-679257.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7268-791568.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7269-822507.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7270-139452.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7271-507204.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7272-317146.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7273-552606.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7274-660238.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7275-410708.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7276-840433.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7277-539402.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7278-655986.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7279-666993.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7280-268183.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7281-423337.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7282-127360.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7283-870600.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7284-650088.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7285-869198.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7286-932665.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7287-319972.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7288-671895.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7289-527909.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7290-268324.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7291-168640.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7292-999292.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7293-853810.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7294-195969.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7295-877707.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7296-881382.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7297-858266.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7298-630133.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7299-596614.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7300-704109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7301-290845.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7302-295235.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7303-452927.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7304-794471.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7305-405365.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7306-447671.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7307-867594.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7308-248277.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7309-863020.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7310-979248.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7311-892208.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7312-187187.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7313-794199.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7314-839236.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7315-999238.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7316-386765.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7317-543816.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7318-167673.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7319-171008.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7320-290013.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7321-196349.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7322-976280.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7323-884177.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7324-167774.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7325-646537.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7326-526458.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7327-215731.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7328-589138.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7329-856267.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7330-905638.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7331-221683.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7332-229418.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7333-343471.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7334-881058.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7335-555131.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7336-121064.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7337-830992.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7338-523131.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7339-316258.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7340-815973.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7341-956521.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7342-595000.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7343-694294.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7344-984079.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7345-354497.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7346-725231.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7347-725174.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7348-498364.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7349-705091.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7350-418025.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7351-283240.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7352-785886.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7353-593586.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7354-785915.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7355-869941.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7356-911560.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7357-635323.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7358-958112.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7359-621554.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7360-295950.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7361-682729.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7362-389401.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7363-177193.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7364-974848.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7365-757993.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7366-466100.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7367-344638.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7368-289997.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7369-295595.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7370-527276.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7371-593796.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7372-136999.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7373-588183.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7374-229252.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7375-346184.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7376-345400.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7377-450407.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7378-740247.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7379-377979.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7380-989470.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7381-281292.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7382-629723.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7383-573299.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7384-949305.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7385-786961.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7386-118561.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7387-961218.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7388-277247.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7389-650501.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7390-940797.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7391-682837.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7392-602760.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7393-672881.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7394-332565.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7395-979096.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7396-731256.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7397-584319.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7398-342059.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7399-401070.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7400-257784.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7401-701286.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7402-365490.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7403-131493.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7404-184556.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7405-207304.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7406-706016.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7407-553864.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7408-842050.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7409-103472.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7410-348587.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7411-461154.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7412-840880.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7413-195987.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7414-641601.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7415-356008.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7416-647722.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7417-785518.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7418-826887.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7419-684122.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7420-709105.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7421-599688.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7422-656618.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7423-927446.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7424-945152.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7425-260860.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7426-666992.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7427-704000.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7428-931054.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7429-728970.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7430-385996.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7431-326055.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7432-735475.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7433-532093.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7434-532818.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7435-994252.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7436-103369.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7437-890751.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7438-311650.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7439-943011.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7440-152097.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7441-772684.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7442-124197.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7443-962749.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7444-735848.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7445-790604.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7446-984528.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7447-196599.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7448-931880.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7449-700706.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7450-931440.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7451-393710.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7452-794203.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7453-172609.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7454-712239.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7455-331080.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7456-424763.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7457-983728.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7458-970981.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7459-620987.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7460-755690.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7461-231369.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7462-868563.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7463-842312.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7464-876538.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7465-510231.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7466-106312.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7467-419072.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7468-541733.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7469-566335.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7470-107622.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7471-491728.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7472-715452.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7473-944384.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7474-952893.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7475-517406.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7476-865647.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7477-671748.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7478-203386.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7479-856168.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7480-401057.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7481-748037.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7482-434530.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7483-204946.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7484-208823.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7485-223281.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7486-909771.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7487-356713.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7488-267052.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7489-862423.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7490-727161.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7491-937447.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7492-123415.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7493-262830.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7494-147613.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7495-880838.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7496-131193.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7497-242207.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7498-210807.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7499-586100.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7500-497880.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7501-482782.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7502-741040.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7503-390646.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7504-916105.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7505-305963.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7506-491847.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7507-265290.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7508-237663.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7509-822907.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7510-274739.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7511-109216.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7512-639774.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7513-401832.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7514-879569.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7515-188165.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7516-968749.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7517-745481.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7518-678077.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7519-258531.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7520-681787.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7521-686716.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7522-791353.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7523-622000.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7524-749090.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7525-253171.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7526-201772.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7527-966504.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7528-699842.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7529-622912.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7530-495306.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7531-357857.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7532-655018.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7533-977072.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7534-151370.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7535-102370.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7536-334863.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7537-856243.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7538-450246.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7539-666087.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7540-167160.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7541-333588.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7542-545342.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7543-649883.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7544-648569.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7545-963177.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7546-190696.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7547-686459.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7548-743816.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7549-304307.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7550-270686.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7551-317515.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7552-269263.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7553-450053.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7554-770202.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7555-859919.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7556-391348.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7557-181855.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7558-849602.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7559-969639.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7560-380864.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7561-895081.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7562-246878.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7563-559227.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7564-365346.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7565-657668.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7566-579970.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7567-945827.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7568-151651.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7569-830643.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7570-793798.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7571-478579.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7572-627719.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7573-264747.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7574-612377.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7575-974707.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7576-608870.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7577-206206.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7578-394371.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7579-295406.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7580-738976.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7581-775102.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7582-484145.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7583-657922.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7584-620102.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7585-484822.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7586-492504.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7587-957775.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7588-136552.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7589-382086.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7590-465134.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7591-905091.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7592-236026.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7593-719270.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7594-737607.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7595-154293.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7596-427448.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7597-157472.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7598-816836.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7599-218028.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7600-501380.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7601-997108.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7602-567279.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7603-750810.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7604-260555.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7605-694408.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7606-175838.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7607-577930.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7608-475985.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7609-779804.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7610-946679.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7611-228444.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7612-238354.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7613-521108.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7614-621691.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7615-758447.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7616-539476.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7617-271409.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7618-588535.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7619-314268.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7620-674413.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7621-368176.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7622-755369.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7623-561915.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7624-290980.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7625-292918.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7626-239859.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7627-304126.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7628-215204.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7629-148964.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7630-666380.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7631-342726.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7632-227527.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7633-204932.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7634-891029.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7635-544933.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7636-255998.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7637-457665.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7638-599973.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7639-642513.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7640-548606.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7641-251414.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7642-796450.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7643-893159.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7644-405492.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7645-666495.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7646-124359.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7647-260980.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7648-382754.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7649-180712.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7650-371675.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7651-908956.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7652-639390.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7653-368689.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7654-717876.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7655-614242.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7656-647240.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7657-522574.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7658-584822.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7659-121221.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7660-811093.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7661-358775.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7662-252600.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7663-891177.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7664-615778.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7665-421567.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7666-456178.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7667-836896.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7668-103568.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7669-389672.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7670-344529.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7671-910464.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7672-116957.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7673-144236.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7674-495244.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7675-684387.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7676-184753.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7677-712420.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7678-870890.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7679-483314.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7680-235277.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7681-696118.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7682-594893.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7683-642383.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7684-255286.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7685-542909.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7686-331120.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7687-178615.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7688-791976.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7689-788403.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7690-423248.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7691-185616.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7692-799959.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7693-785693.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7694-152437.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7695-467455.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7696-576724.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7697-619134.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7698-754089.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7699-423656.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7700-861139.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7701-718849.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7702-417024.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7703-751999.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7704-620732.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7705-753282.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7706-634557.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7707-181320.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7708-847962.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7709-714212.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7710-263302.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7711-576452.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7712-914846.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7713-155684.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7714-264622.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7715-118541.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7716-639062.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7717-213201.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7718-694894.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7719-372876.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7720-864846.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7721-696889.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7722-927520.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7723-370866.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7724-544686.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7725-145734.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7726-505490.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7727-196168.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7728-530400.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7729-995430.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7730-379323.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7731-636087.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7732-370561.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7733-621432.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7734-503762.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7735-149760.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7736-173639.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7737-231069.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7738-264589.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7739-474489.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7740-531784.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7741-496768.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7742-596472.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7743-563895.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7744-106795.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7745-316686.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7746-525586.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7747-500557.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7748-465618.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7749-511824.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7750-504322.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7751-584632.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7752-152244.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7753-866508.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7754-751092.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7755-301466.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7756-180738.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7757-737566.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7758-599810.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7759-976421.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7760-791103.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7761-153362.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7762-997794.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7763-949598.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7764-660692.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7765-792877.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7766-608208.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7767-264810.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7768-600197.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7769-181045.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7770-947863.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7771-399621.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7772-458768.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7773-960013.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7774-549956.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7775-356364.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7776-685122.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7777-741583.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7778-824303.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7779-534492.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7780-417540.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7781-951475.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7782-800510.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7783-592025.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7784-199647.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7785-334227.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7786-130826.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7787-469644.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7788-332287.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7789-420648.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7790-149171.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7791-505417.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7792-404558.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7793-646010.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7794-409376.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7795-751433.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7796-375275.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7797-244732.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7798-136591.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7799-728402.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7800-159997.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7801-113158.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7802-772131.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7803-958063.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7804-288202.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7805-838171.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7806-428993.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7807-679442.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7808-318869.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7809-857363.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7810-607702.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7811-538110.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7812-398880.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7813-663714.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7814-656897.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7815-748958.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7816-688922.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7817-537216.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7818-617991.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7819-534345.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7820-175156.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7821-456500.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7822-989449.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7823-683631.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7824-569359.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7825-609281.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7826-638631.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7827-531954.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7828-643821.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7829-201943.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7830-683215.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7831-963123.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7832-711378.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7833-228323.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7834-515452.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7835-800536.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7836-276131.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7837-947950.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7838-372737.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7839-164192.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7840-401366.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7841-127986.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7842-381146.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7843-952900.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7844-701999.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7845-971746.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7846-833404.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7847-640895.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7848-430821.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7849-329425.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7850-913536.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7851-493281.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7852-489524.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7853-865284.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7854-747150.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7855-588334.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7856-899466.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7857-718985.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7858-711089.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7859-459026.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7860-187310.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7861-908343.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7862-855321.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7863-912074.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7864-813396.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7865-540367.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7866-758057.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7867-200156.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7868-269753.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7869-115460.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7870-978960.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7871-197999.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7872-605937.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7873-250605.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7874-574592.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7875-440499.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7876-230280.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7877-920663.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7878-598648.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7879-745473.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7880-962615.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7881-132811.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7882-417025.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7883-592655.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7884-275735.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7885-383161.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7886-114859.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7887-923974.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7888-199493.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7889-348559.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7890-349758.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7891-893605.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7892-618872.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7893-393076.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7894-697208.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7895-485582.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7896-254195.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7897-212400.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7898-688251.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7899-914480.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7900-191215.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7901-687877.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7902-404480.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7903-933079.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7904-519498.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7905-407383.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7906-782057.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7907-292057.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7908-745756.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7909-396440.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7910-944795.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7911-988876.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7912-361390.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7913-694017.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7914-109477.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7915-146882.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7916-752161.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7917-601239.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7918-858604.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7919-736038.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7920-679168.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7921-926474.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7922-294605.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7923-754730.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7924-866643.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7925-797459.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7926-842597.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7927-160049.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 7928-804740.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7929-361285.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7930-787527.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7931-686369.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7932-988920.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7933-884463.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7934-372057.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7935-556087.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7936-950072.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7937-347239.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7938-654040.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7939-551892.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7940-119985.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7941-947609.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7942-624507.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7943-134563.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7944-506072.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7945-158007.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7946-486000.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7947-120995.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7948-218010.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7949-176584.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7950-917908.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7951-528655.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7952-739009.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7953-196214.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7954-651547.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7955-581552.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7956-464669.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7957-631133.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7958-800781.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7959-621424.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7960-825083.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7961-233123.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7962-220351.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7963-305876.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7964-670259.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7965-567215.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7966-511257.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7967-828961.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7968-999124.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7969-102557.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7970-246494.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7971-176086.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7972-999136.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7973-252015.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7974-712693.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7975-164959.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7976-959749.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7977-226458.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7978-271426.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7979-169081.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 7980-423729.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7981-670775.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7982-259165.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7983-222338.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7984-949507.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7985-923260.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7986-238407.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 7987-518224.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7988-785772.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7989-462522.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 7990-404903.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
7991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7991-193247.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7992-991742.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 7993-686539.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 7994-426274.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7995-729514.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
7996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 7996-559158.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
7997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 7997-217724.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
7998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 7998-688633.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
7999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 7999-359080.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8000-858459.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8001-599562.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8002-343384.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8003-662460.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8004-111086.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8005-628580.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8006-602000.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8007-788935.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8008-705136.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8009-308546.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8010-438072.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8011-530292.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8012-336307.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8013-421950.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8014-501170.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8015-418406.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8016-351594.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8017-600345.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8018-916682.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8019-862367.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8020-322288.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8021-488163.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8022-404373.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8023-333478.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8024-760637.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8025-538919.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8026-967519.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8027-770806.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8028-289823.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8029-849819.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8030-649461.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8031-249315.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8032-127434.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8033-168952.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8034-297423.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8035-237496.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8036-561014.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8037-805846.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8038-421889.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8039-430010.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8040-239298.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8041-140380.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8042-347719.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8043-773219.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8044-512555.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8045-207762.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8046-298267.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8047-668450.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8048-859191.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8049-576863.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8050-713840.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8051-792477.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8052-990051.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8053-308295.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8054-614656.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8055-923749.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8056-344331.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8057-578234.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8058-464764.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8059-682678.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8060-881474.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8061-392942.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8062-863391.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8063-614748.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8064-160209.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8065-184978.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8066-897840.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8067-825854.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8068-363953.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8069-796055.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8070-286012.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8071-299269.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8072-828199.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8073-868894.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8074-350094.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8075-372216.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8076-184232.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8077-161279.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8078-498468.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8079-498898.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8080-105033.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8081-623690.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8082-113649.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8083-683459.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8084-279508.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8085-539098.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8086-727002.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8087-208201.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8088-608415.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8089-494836.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8090-893902.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8091-539793.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8092-637004.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8093-935216.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8094-383363.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8095-444521.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8096-956208.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8097-951797.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8098-842303.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8099-586698.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8100-337421.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8101-864985.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8102-587852.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8103-930354.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8104-266617.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8105-161145.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8106-249980.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8107-426795.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8108-749363.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8109-962497.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8110-772408.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8111-911993.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8112-172370.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8113-175652.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8114-786457.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8115-173144.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8116-513923.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8117-374723.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8118-234127.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8119-163862.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8120-465292.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8121-700035.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8122-817387.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8123-539438.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8124-691859.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8125-378164.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8126-287678.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8127-444967.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8128-271912.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8129-308855.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8130-891991.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8131-562403.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8132-218379.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8133-204269.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8134-388157.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8135-754415.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8136-658809.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8137-806229.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8138-790659.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8139-839969.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8140-580679.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8141-219167.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8142-897568.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8143-920812.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8144-599762.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8145-920822.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8146-387920.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8147-788435.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8148-434722.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8149-743040.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8150-351569.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8151-993349.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8152-278106.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8153-429977.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8154-260840.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8155-399261.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8156-154737.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8157-672317.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8158-859787.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8159-762066.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8160-544114.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8161-264180.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8162-722394.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8163-636470.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8164-520437.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8165-483105.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8166-206886.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8167-330919.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8168-493155.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8169-677470.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8170-908673.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8171-542634.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8172-484822.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8173-898602.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8174-334889.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8175-989910.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8176-344555.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8177-112877.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8178-465140.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8179-471479.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8180-610021.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8181-302781.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8182-311167.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8183-552197.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8184-924280.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8185-424055.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8186-768052.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8187-248709.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8188-450064.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8189-472949.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8190-698167.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8191-681143.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8192-903663.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8193-756696.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8194-692452.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8195-450789.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8196-444266.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8197-343447.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8198-123625.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8199-874039.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8200-496587.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8201-834647.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8202-359525.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8203-456354.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8204-645106.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8205-760381.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8206-806974.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8207-586876.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8208-275634.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8209-445018.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8210-235175.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8211-169216.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8212-968104.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8213-640176.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8214-663962.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8215-432525.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8216-511551.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8217-103667.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8218-121175.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8219-217236.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8220-302664.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8221-295108.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8222-411359.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8223-758966.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8224-344998.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8225-940425.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8226-679587.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8227-558519.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8228-799447.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8229-864972.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8230-787109.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8231-741333.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8232-804517.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8233-727869.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8234-113237.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8235-974720.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8236-827359.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8237-886566.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8238-611499.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8239-965508.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8240-358312.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8241-512350.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8242-325557.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8243-238202.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8244-656166.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8245-793172.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8246-774329.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8247-135790.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8248-293139.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8249-469361.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8250-430590.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8251-577419.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8252-664103.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8253-950302.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8254-900013.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8255-719672.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8256-731076.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8257-566377.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8258-767046.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8259-465699.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8260-745379.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8261-533700.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8262-826401.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8263-406403.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8264-439735.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8265-990221.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8266-309129.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8267-194404.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8268-951842.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8269-850373.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8270-409574.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8271-450967.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8272-277316.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8273-857207.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8274-774586.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8275-715791.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8276-740091.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8277-286687.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8278-301257.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8279-836531.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8280-176893.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8281-254379.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8282-766751.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8283-788066.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8284-202232.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8285-794665.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8286-687920.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8287-372732.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8288-361217.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8289-786735.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8290-626506.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8291-319688.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8292-921908.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8293-183467.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8294-508225.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8295-794191.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8296-409581.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8297-683884.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8298-293630.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8299-136197.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8300-545929.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8301-747260.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8302-311139.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8303-332512.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8304-352356.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8305-650720.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8306-676871.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8307-908830.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8308-515557.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8309-343736.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8310-999220.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8311-925246.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8312-927629.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8313-178071.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8314-644312.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8315-409072.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8316-299041.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8317-411946.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8318-497260.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8319-280807.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8320-257194.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8321-311204.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8322-802900.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8323-518302.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8324-583803.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8325-364117.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8326-621335.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8327-456855.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8328-843090.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8329-448630.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8330-164757.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8331-807038.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8332-166037.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8333-278650.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8334-312052.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8335-575061.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8336-839337.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8337-572006.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8338-483333.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8339-164699.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8340-366757.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8341-446414.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8342-542550.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8343-909833.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8344-954403.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8345-348503.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8346-158468.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8347-689734.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8348-911119.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8349-672275.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8350-779238.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8351-650973.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8352-294314.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8353-142119.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8354-400299.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8355-935796.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8356-873070.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8357-139879.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8358-337568.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8359-568501.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8360-119607.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8361-251905.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8362-946052.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8363-307013.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8364-380097.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8365-346466.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8366-113813.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8367-762647.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8368-386106.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8369-165431.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8370-728996.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8371-629790.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8372-361127.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8373-341436.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8374-666306.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8375-426112.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8376-161460.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8377-628114.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8378-668279.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8379-765974.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8380-752727.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8381-876039.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8382-845969.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8383-671185.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8384-992235.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8385-183238.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8386-183194.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8387-574907.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8388-227775.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8389-725133.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8390-536401.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8391-700071.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8392-484424.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8393-888307.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8394-415024.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8395-227006.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8396-180774.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8397-250834.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8398-837692.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8399-685485.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8400-770197.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8401-179118.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8402-960994.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8403-634917.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8404-857071.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8405-163259.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8406-695487.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8407-747150.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8408-911731.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8409-560651.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8410-274402.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8411-241229.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8412-621610.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8413-131239.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8414-260048.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8415-120226.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8416-567344.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8417-877635.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8418-636295.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8419-605317.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8420-539085.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8421-475071.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8422-724313.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8423-690841.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8424-805801.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8425-512978.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8426-893769.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8427-370968.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8428-502960.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8429-458468.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8430-841156.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8431-593280.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8432-396720.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8433-138553.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8434-749551.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8435-563942.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8436-209147.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8437-781534.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8438-169385.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8439-130117.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8440-776762.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8441-202909.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8442-832490.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8443-934482.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8444-955743.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8445-848439.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8446-503126.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8447-313804.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8448-187676.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8449-994534.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8450-269799.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8451-660807.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8452-389009.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8453-274662.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8454-110027.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8455-196969.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8456-887588.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8457-419902.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8458-168346.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8459-205024.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8460-441634.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8461-107674.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8462-743847.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8463-430794.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8464-460899.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8465-728693.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8466-676065.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8467-477346.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8468-894160.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8469-414484.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8470-981770.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8471-600967.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8472-426887.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8473-422810.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8474-513351.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8475-705177.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8476-660439.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8477-562863.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8478-140891.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8479-540869.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8480-239556.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8481-580138.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8482-951082.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8483-651842.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8484-175258.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8485-306173.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8486-209640.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8487-400365.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8488-909197.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8489-893983.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8490-940170.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8491-308838.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8492-401196.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8493-551101.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8494-731255.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8495-491250.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8496-316298.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8497-439894.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8498-269649.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8499-834390.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8500-618269.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8501-543011.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8502-293468.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8503-838625.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8504-186540.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8505-344993.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8506-697025.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8507-718893.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8508-215280.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8509-330872.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8510-251391.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8511-316414.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8512-761050.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8513-935241.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8514-238030.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8515-115951.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8516-391184.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8517-753748.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8518-358506.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8519-973827.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8520-286167.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8521-309966.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8522-466419.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8523-546087.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8524-496301.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8525-803494.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8526-695939.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8527-900249.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8528-144474.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8529-330068.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8530-903085.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8531-258946.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8532-213763.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8533-567655.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8534-392852.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8535-118029.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8536-833851.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8537-956077.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8538-934209.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8539-659088.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8540-768769.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8541-331361.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8542-986238.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8543-614742.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8544-732086.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8545-759137.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8546-737224.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8547-897827.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8548-956641.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8549-326959.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8550-114953.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8551-994150.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8552-286959.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8553-533405.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8554-308543.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8555-849744.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8556-809438.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8557-335428.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8558-355816.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8559-456405.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8560-607234.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8561-125323.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8562-655796.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8563-122933.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8564-633790.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8565-711229.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8566-145241.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8567-759625.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8568-486894.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8569-739887.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8570-327971.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8571-441944.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8572-677027.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8573-523410.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8574-441379.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8575-624287.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8576-989490.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8577-796888.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8578-677435.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8579-684786.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8580-100832.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8581-823622.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8582-496286.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8583-365015.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8584-871918.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8585-442214.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8586-396007.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8587-504649.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8588-878374.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8589-167589.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8590-497122.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8591-826885.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8592-224528.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8593-571666.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8594-907436.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8595-665184.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8596-187834.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8597-694775.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8598-206858.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8599-810621.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8600-411286.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8601-109184.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8602-948478.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8603-161510.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8604-126529.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8605-226460.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8606-733139.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8607-611043.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8608-573696.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8609-441217.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8610-946326.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8611-805291.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8612-503528.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8613-976750.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8614-767713.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8615-134855.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8616-187049.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8617-767212.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8618-439026.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8619-918766.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8620-130952.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8621-987762.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8622-484408.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8623-933580.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8624-128866.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8625-341745.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8626-556089.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8627-336554.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8628-601657.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8629-372833.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8630-787820.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8631-229695.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8632-637797.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8633-655790.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8634-277991.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8635-905367.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8636-120674.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8637-820213.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8638-224435.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8639-847401.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8640-983040.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8641-404665.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8642-531692.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8643-682788.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8644-418878.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8645-597064.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8646-513774.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8647-502651.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8648-473256.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8649-889470.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8650-343292.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8651-453953.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8652-458906.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8653-666510.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8654-897999.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8655-963478.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8656-473676.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8657-476975.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8658-458879.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8659-363838.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8660-145548.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8661-743369.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8662-551327.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8663-106935.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8664-776937.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8665-140772.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8666-684561.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8667-985607.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8668-274362.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8669-162072.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8670-781112.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8671-134895.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8672-558604.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8673-769305.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8674-262671.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8675-332445.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8676-840459.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8677-820581.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8678-259308.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8679-483734.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8680-552281.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8681-479560.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8682-949817.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8683-427286.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8684-229205.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8685-426471.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8686-941839.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8687-210442.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8688-979053.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8689-870382.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8690-465645.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8691-844726.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8692-152748.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8693-221703.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8694-907523.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8695-146245.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8696-895506.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8697-749223.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8698-434714.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8699-138353.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8700-744680.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8701-996640.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8702-679190.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8703-640107.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8704-531796.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8705-155761.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8706-711944.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8707-492192.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8708-735028.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8709-751787.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8710-531905.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8711-839637.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8712-128177.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8713-619071.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8714-913036.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8715-901528.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8716-409127.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8717-304547.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8718-750912.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8719-603168.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8720-162295.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8721-291095.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8722-639800.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8723-344906.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8724-385435.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8725-283672.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8726-596303.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8727-285365.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8728-468180.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8729-481610.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8730-224751.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8731-803811.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8732-983962.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8733-858254.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8734-720298.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8735-222133.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8736-240971.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8737-347864.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8738-675672.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8739-202385.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8740-519461.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8741-860492.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8742-301941.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8743-822686.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8744-448634.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8745-637572.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8746-629629.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8747-454567.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8748-200148.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8749-837924.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8750-184723.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8751-371115.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8752-925668.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8753-801125.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8754-503041.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8755-227561.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8756-541029.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8757-602369.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8758-250618.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8759-113421.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8760-185511.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8761-990997.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8762-262433.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8763-186769.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8764-690247.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8765-456301.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8766-249131.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8767-942649.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8768-167962.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8769-300362.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8770-135237.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8771-709192.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8772-363253.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8773-585953.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8774-679070.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8775-821280.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8776-781340.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8777-379837.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8778-994676.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8779-988297.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8780-648175.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8781-968023.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8782-556369.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8783-339527.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8784-631255.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8785-157721.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8786-660705.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8787-717656.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8788-198079.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8789-158277.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8790-810756.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8791-999408.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8792-981460.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8793-808643.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8794-907130.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8795-473013.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8796-364900.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8797-718396.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8798-719144.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8799-560590.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8800-313980.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8801-810467.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8802-681663.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8803-129036.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8804-119901.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8805-723666.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8806-747250.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8807-679845.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8808-810934.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8809-764960.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8810-589540.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8811-387422.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8812-560098.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8813-838806.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8814-689583.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8815-638315.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8816-204728.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8817-475153.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8818-828599.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8819-283841.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8820-319674.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8821-207808.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8822-759908.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8823-968234.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8824-158813.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8825-991491.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8826-867721.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8827-445195.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8828-851573.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8829-844455.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8830-198383.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8831-969857.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8832-796602.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8833-157896.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8834-115261.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8835-942472.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8836-454856.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8837-392506.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8838-576904.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8839-104069.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8840-665725.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8841-799467.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8842-625145.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8843-446463.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8844-642165.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8845-702600.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8846-297034.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8847-130118.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8848-662927.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8849-185461.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8850-312184.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8851-568724.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8852-236231.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8853-896986.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8854-784959.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8855-121816.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8856-322979.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8857-359493.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8858-594664.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8859-213725.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8860-661776.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8861-404979.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8862-240445.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8863-300333.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8864-554187.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8865-628717.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8866-276349.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8867-539141.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8868-378564.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8869-883095.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8870-224408.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8871-884830.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8872-749292.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8873-143446.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8874-262314.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8875-148855.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8876-339385.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8877-529517.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8878-219744.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8879-240099.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8880-877109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8881-782732.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8882-715524.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8883-332737.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8884-134675.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8885-881326.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8886-942605.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8887-702208.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8888-481758.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8889-389742.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8890-525673.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8891-103336.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8892-112510.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8893-806070.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8894-871158.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8895-231131.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8896-277226.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8897-607050.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8898-855519.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8899-439390.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8900-111842.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8901-999408.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8902-805460.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8903-582204.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8904-617529.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8905-668837.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8906-612777.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8907-409570.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8908-742766.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8909-205731.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8910-131480.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8911-804098.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8912-769328.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8913-116209.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8914-176325.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8915-920310.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8916-201582.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8917-502516.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8918-392229.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8919-789602.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8920-949804.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8921-316271.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8922-604243.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8923-192595.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8924-251552.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8925-762836.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8926-396268.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8927-321719.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8928-660576.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8929-653334.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8930-429657.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8931-742380.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8932-428649.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8933-554940.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8934-376145.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8935-177646.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8936-578240.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8937-989576.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8938-974196.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8939-491303.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8940-152466.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8941-799274.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8942-467597.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8943-449669.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8944-938766.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8945-998783.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8946-987407.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8947-980717.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8948-580515.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 8949-119601.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8950-224205.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8951-138507.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 8952-964407.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8953-745106.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8954-738773.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8955-771766.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8956-357529.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8957-874085.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8958-986217.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8959-413593.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8960-913784.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8961-346773.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8962-894908.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8963-567555.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8964-355855.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8965-983851.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8966-969697.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8967-571535.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8968-514054.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8969-950576.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8970-150419.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8971-888237.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8972-293712.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8973-981801.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8974-787610.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 8975-546168.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8976-881363.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8977-326524.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8978-835658.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8979-392995.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8980-836052.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8981-326642.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8982-349507.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8983-872584.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8984-552252.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8985-780431.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8986-649700.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8987-586666.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 8988-792339.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8989-980472.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8990-500297.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
8991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8991-742426.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
8992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8992-650472.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 8993-544383.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8994-764374.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
8995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 8995-661519.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
8996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 8996-929039.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 8997-441709.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 8998-655296.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
8999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 8999-927502.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9000-871964.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9001,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9001-625889.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9002,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9002-568599.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9003,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9003-465820.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9004,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9004-327230.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9005,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9005-402854.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9006,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9006-928032.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9007,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9007-604911.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9008,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9008-866035.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9009,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9009-266231.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9010,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9010-354165.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9011,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9011-496718.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9012,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9012-859377.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9013,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9013-983210.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9014,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9014-818542.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9015,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9015-732218.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9016,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9016-939657.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9017,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9017-333998.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9018,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9018-538263.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9019,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9019-804731.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9020,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9020-188936.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9021,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9021-958883.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9022,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9022-951162.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9023,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9023-394588.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9024,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9024-168612.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9025,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9025-108909.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9026,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9026-460159.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9027,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9027-455597.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9028,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9028-167182.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9029,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9029-241718.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9030,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9030-599768.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9031,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9031-728652.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9032,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9032-981765.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9033,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9033-676069.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9034,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9034-536450.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9035,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9035-144737.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9036,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9036-442475.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9037,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9037-322338.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9038,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9038-627872.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9039,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9039-295817.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9040,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9040-683974.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9041,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9041-784146.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9042,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9042-959093.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9043,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9043-780980.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9044,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9044-628520.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9045,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9045-965845.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9046,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9046-498211.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9047,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9047-276832.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9048,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9048-454694.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9049,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9049-503888.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9050,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9050-590551.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9051,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9051-231023.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9052,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9052-508616.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9053,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9053-101390.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9054,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9054-670626.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9055,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9055-994232.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9056,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9056-465299.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9057,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9057-216494.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9058,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9058-217081.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9059,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9059-862218.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9060,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9060-851709.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9061,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9061-100161.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9062,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9062-935341.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9063,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9063-723691.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9064,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9064-597324.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9065,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9065-644891.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9066,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9066-345508.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9067,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9067-413385.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9068,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9068-815202.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9069,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9069-552863.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9070,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9070-800325.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9071,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9071-356993.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9072,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9072-596676.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9073,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9073-582703.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9074,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9074-600754.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9075,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9075-389898.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9076,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9076-533594.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9077,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9077-656015.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9078,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9078-793296.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9079,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9079-336301.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9080,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9080-626428.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9081,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9081-630302.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9082,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9082-383031.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9083,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9083-684109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9084,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9084-768173.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9085,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9085-659551.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9086,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9086-641397.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9087,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9087-232625.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9088,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9088-985907.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9089,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9089-802079.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9090,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9090-577849.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9091,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9091-860888.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9092,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9092-431522.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9093,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9093-708656.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9094,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9094-825307.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9095,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9095-932840.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9096,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9096-974548.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9097,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9097-874558.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9098,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9098-814947.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9099,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9099-720311.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9100,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9100-435806.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9101,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9101-757008.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9102,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9102-885437.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9103,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9103-208719.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9104,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9104-611298.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9105,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9105-368049.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9106,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9106-583188.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9107,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9107-755881.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9108,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9108-124481.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9109,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9109-682138.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9110,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9110-921173.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9111,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9111-815570.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9112,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9112-307792.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9113,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9113-680646.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9114,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9114-245245.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9115,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9115-399813.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9116,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9116-739705.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9117,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9117-647903.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9118,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9118-222938.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9119,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9119-752156.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9120,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9120-788195.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9121,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9121-261655.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9122,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9122-684109.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9123,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9123-336578.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9124,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9124-929346.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9125,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9125-260892.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9126,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9126-745304.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9127,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9127-898398.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9128,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9128-207529.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9129,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9129-154107.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9130,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9130-883918.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9131,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9131-515055.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9132,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9132-995658.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9133,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9133-304962.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9134,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9134-633003.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9135,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9135-869353.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9136,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9136-524962.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9137,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9137-237125.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9138,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9138-229432.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9139,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9139-616355.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9140,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9140-148268.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9141,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9141-615314.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9142,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9142-566579.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9143,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9143-462860.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9144,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9144-755879.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9145,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9145-888540.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9146,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9146-703268.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9147,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9147-375777.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9148,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9148-738550.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9149,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9149-367363.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9150,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9150-126446.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9151,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9151-128205.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9152,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9152-796474.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9153,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9153-305382.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9154,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9154-607750.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9155,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9155-265315.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9156,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9156-165493.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9157,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9157-998870.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9158,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9158-877690.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9159,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9159-214588.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9160,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9160-702870.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9161,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9161-489535.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9162,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9162-765704.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9163,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9163-991065.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9164,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9164-907198.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9165,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9165-323024.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9166,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9166-282812.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9167,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9167-737357.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9168,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9168-817316.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9169,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9169-200243.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9170,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9170-744031.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9171,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9171-938953.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9172,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9172-524388.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9173,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9173-804255.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9174,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9174-195984.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9175,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9175-835300.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9176,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9176-297347.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9177,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9177-897712.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9178,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9178-325101.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9179,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9179-193358.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9180,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9180-514089.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9181,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9181-109098.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9182,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9182-951438.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9183,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9183-564052.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9184,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9184-622867.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9185,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9185-401179.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9186,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9186-915383.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9187,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9187-367838.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9188,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9188-207486.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9189,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9189-927318.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9190,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9190-101633.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9191,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9191-214882.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9192,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9192-379090.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9193,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9193-787693.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9194,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9194-862973.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9195,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9195-922113.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9196,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9196-673512.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9197,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9197-146362.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9198,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9198-351211.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9199,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9199-418715.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9200,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9200-227086.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9201,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9201-570436.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9202,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9202-641283.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9203,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9203-704352.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9204,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9204-554840.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9205,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9205-840683.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9206,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9206-625004.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9207,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9207-370758.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9208,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9208-280195.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9209,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9209-600207.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9210,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9210-161989.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9211,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9211-373330.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9212,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9212-993994.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9213,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9213-253243.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9214,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9214-897937.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9215,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9215-169960.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9216,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9216-364806.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9217,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9217-676827.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9218,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9218-371834.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9219,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9219-138406.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9220,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9220-927499.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9221,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9221-577094.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9222,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9222-229198.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9223,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9223-689156.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9224,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9224-844720.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9225,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9225-466105.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9226,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9226-624114.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9227,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9227-877609.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9228,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9228-491453.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9229,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9229-369754.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9230,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9230-824261.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9231,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9231-564711.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9232,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9232-156185.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9233,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9233-279325.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9234,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9234-402934.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9235,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9235-750941.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9236,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9236-316850.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9237,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9237-119403.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9238,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9238-926921.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9239,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9239-725159.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9240,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9240-710787.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9241,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9241-151530.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9242,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9242-789978.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9243,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9243-128672.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9244,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9244-974870.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9245,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9245-428572.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9246,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9246-675132.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9247,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9247-541878.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9248,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9248-929416.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9249,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9249-850500.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9250,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9250-754397.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9251,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9251-935743.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9252,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9252-594993.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9253,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9253-937889.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9254,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9254-551748.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9255,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9255-445281.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9256,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9256-130062.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9257,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9257-292447.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9258,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9258-445023.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9259,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9259-188920.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9260,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9260-894422.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9261,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9261-163397.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9262,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9262-916848.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9263,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9263-731328.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9264,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9264-414303.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9265,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9265-260358.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9266,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9266-580035.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9267,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9267-308787.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9268,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9268-208549.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9269,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9269-840449.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9270,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9270-301170.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9271,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9271-206571.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9272,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9272-663520.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9273,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9273-670997.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9274,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9274-733398.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9275,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9275-416639.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9276,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9276-771199.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9277,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9277-399396.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9278,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9278-749379.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9279,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9279-889822.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9280,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9280-883331.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9281,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9281-161318.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9282,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9282-149376.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9283,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9283-353448.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9284,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9284-627768.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9285,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9285-610287.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9286,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9286-791423.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9287,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9287-398539.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9288,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9288-796348.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9289,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9289-850810.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9290,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9290-371562.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9291,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9291-557748.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9292,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9292-247184.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9293,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9293-513777.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9294,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9294-612022.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9295,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9295-908213.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9296,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9296-241392.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9297,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9297-219685.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9298,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9298-177875.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9299,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9299-472854.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9300,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9300-905707.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9301,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9301-856305.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9302,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9302-839461.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9303,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9303-619976.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9304,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9304-551689.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9305,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9305-522083.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9306,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9306-522754.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9307,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9307-919203.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9308,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9308-709518.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9309,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9309-311983.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9310,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9310-137932.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9311,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9311-524538.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9312,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9312-409872.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9313,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9313-987387.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9314,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9314-845497.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9315,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9315-560039.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9316,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9316-979306.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9317,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9317-503773.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9318,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9318-740471.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9319,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9319-638986.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9320,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9320-373881.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9321,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9321-619382.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9322,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9322-438960.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9323,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9323-299676.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9324,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9324-456611.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9325,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9325-428583.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9326,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9326-825095.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9327,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9327-243450.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9328,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9328-630710.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9329,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9329-349432.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9330,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9330-895950.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9331,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9331-628224.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9332,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9332-736319.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9333,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9333-891800.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9334,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9334-266545.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9335,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9335-872141.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9336,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9336-123859.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9337,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9337-559202.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9338,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9338-347312.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9339,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9339-816183.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9340,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9340-855185.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9341,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9341-971248.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9342,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9342-937402.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9343,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9343-852966.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9344,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9344-546055.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9345,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9345-715592.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9346,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9346-835731.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9347,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9347-786457.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9348,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9348-290672.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9349,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9349-514221.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9350,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9350-106926.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9351,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9351-464420.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9352,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9352-497818.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9353,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9353-914754.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9354,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9354-784349.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9355,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9355-581460.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9356,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9356-858112.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9357,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9357-524878.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9358,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9358-528613.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9359,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9359-421594.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9360,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9360-851524.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9361,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9361-231491.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9362,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9362-562503.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9363,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9363-274002.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9364,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9364-599011.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9365,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9365-853126.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9366,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9366-520127.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9367,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9367-788615.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9368,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9368-386142.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9369,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9369-350211.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9370,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9370-130090.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9371,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9371-546683.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9372,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9372-259089.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9373,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9373-253122.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9374,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9374-225142.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9375,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9375-217607.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9376,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9376-524771.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9377,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9377-723266.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9378,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9378-137184.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9379,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9379-365755.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9380,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9380-688810.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9381,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9381-484537.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9382,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9382-921373.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9383,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9383-660569.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9384,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9384-614064.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9385,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9385-814597.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9386,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9386-245830.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9387,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9387-720075.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9388,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9388-773427.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9389,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9389-219842.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9390,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9390-129432.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9391,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9391-659848.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9392,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9392-157051.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9393,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9393-400668.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9394,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9394-535061.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9395,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9395-303365.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9396,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9396-925234.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9397,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9397-693018.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9398,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9398-421098.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9399,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9399-294488.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9400,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9400-493997.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9401,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9401-655781.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9402,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9402-381102.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9403,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9403-612168.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9404,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9404-180061.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9405,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9405-622961.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9406,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9406-192398.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9407,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9407-725179.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9408,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9408-357465.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9409,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9409-202726.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9410,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9410-271962.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9411,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9411-688442.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9412,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9412-212233.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9413,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9413-858415.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9414,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9414-556702.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9415,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9415-916111.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9416,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9416-332020.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9417,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9417-421109.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9418,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9418-919147.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9419,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9419-624418.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9420,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9420-577497.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9421,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9421-701415.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9422,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9422-462990.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9423,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9423-282918.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9424,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9424-363074.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9425,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9425-596261.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9426,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9426-369202.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9427,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9427-640524.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9428,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9428-577232.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9429,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9429-897632.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9430,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9430-695145.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9431,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9431-146999.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9432,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9432-551076.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9433,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9433-375299.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9434,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9434-901997.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9435,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9435-914659.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9436,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9436-473381.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9437,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9437-424491.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9438,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9438-405402.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9439,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9439-744184.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9440,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9440-875025.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9441,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9441-260000.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9442,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9442-513111.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9443,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9443-362324.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9444,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9444-734122.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9445,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9445-297957.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9446,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9446-849879.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9447,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9447-186298.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9448,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9448-229882.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9449,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9449-445981.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9450,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9450-982969.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9451,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9451-237994.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9452,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9452-929159.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9453,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9453-193759.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9454,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9454-470220.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9455,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9455-700113.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9456,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9456-225043.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9457,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9457-841001.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9458,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9458-710371.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9459,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9459-301174.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9460,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9460-169747.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9461,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9461-806198.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9462,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9462-514401.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9463,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9463-610036.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9464,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9464-759504.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9465,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9465-285328.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9466,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9466-810424.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9467,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9467-865073.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9468,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9468-538356.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9469,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9469-684777.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9470,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9470-250418.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9471,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9471-335915.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9472,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9472-242372.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9473,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9473-648820.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9474,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9474-645685.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9475,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9475-682506.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9476,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9476-514513.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9477,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9477-411368.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9478,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9478-730221.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9479,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9479-583417.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9480,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9480-181339.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9481,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9481-346339.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9482,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9482-443872.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9483,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9483-330570.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9484,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9484-482196.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9485,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9485-108458.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9486,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9486-641646.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9487,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9487-732667.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9488,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9488-192392.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9489,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9489-105301.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9490,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9490-429851.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9491,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9491-742410.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9492,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9492-253128.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9493,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9493-769017.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9494,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9494-672165.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9495,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9495-100684.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9496,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9496-875070.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9497,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9497-782830.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9498,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9498-159793.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9499,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9499-921635.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9500,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9500-681802.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9501,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9501-548689.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9502,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9502-990109.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9503,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9503-160131.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9504,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9504-989767.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9505,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9505-729234.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9506,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9506-616397.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9507,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9507-614992.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9508,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9508-326553.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9509,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9509-515434.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9510,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9510-469388.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9511,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9511-450340.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9512,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9512-464624.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9513,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9513-327259.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9514,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9514-318163.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9515,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9515-765176.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9516,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9516-767055.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9517,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9517-782268.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9518,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9518-806576.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9519,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9519-545422.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9520,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9520-398689.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9521,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9521-338493.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9522,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9522-874659.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9523,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9523-561722.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9524,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9524-461449.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9525,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9525-874662.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9526,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9526-338851.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9527,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9527-820194.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9528,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9528-449214.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9529,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9529-463245.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9530,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9530-743848.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9531,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9531-945698.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9532,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9532-971359.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9533,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9533-481518.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9534,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9534-383211.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9535,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9535-632887.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9536,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9536-971365.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9537,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9537-189698.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9538,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9538-192806.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9539,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9539-870621.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9540,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9540-850091.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9541,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9541-691429.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9542,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9542-304940.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9543,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9543-691817.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9544,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9544-239822.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9545,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9545-354842.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9546,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9546-458327.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9547,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9547-657674.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9548,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9548-699551.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9549,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9549-301939.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9550,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9550-377369.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9551,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9551-940369.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9552,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9552-316938.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9553,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9553-311525.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9554,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9554-358537.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9555,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9555-510069.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9556,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9556-685063.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9557,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9557-382791.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9558,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9558-102548.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9559,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9559-862272.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9560,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9560-709053.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9561,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9561-971317.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9562,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9562-813189.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9563,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9563-496069.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9564,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9564-629706.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9565,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9565-206189.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9566,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9566-575813.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9567,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9567-924857.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9568,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9568-231703.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9569,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9569-877403.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9570,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9570-709326.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9571,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9571-426389.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9572,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9572-474069.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9573,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9573-704882.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9574,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9574-128207.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9575,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9575-106629.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9576,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9576-249436.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9577,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9577-966617.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9578,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9578-405840.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9579,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9579-288354.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9580,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9580-810998.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9581,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9581-638141.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9582,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9582-434329.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9583,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9583-711795.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9584,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9584-140874.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9585,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9585-159644.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9586,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9586-567301.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9587,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9587-881105.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9588,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9588-951715.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9589,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9589-910351.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9590,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9590-697722.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9591,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9591-892839.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9592,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9592-138943.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9593,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9593-705308.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9594,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9594-592651.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9595,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9595-926406.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9596,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9596-521720.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9597,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9597-696681.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9598,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9598-640069.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9599,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9599-324943.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9600,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9600-411693.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9601,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9601-962044.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9602,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9602-649712.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9603,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9603-275001.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9604,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9604-904716.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9605,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9605-923322.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9606,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9606-780184.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9607,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9607-498713.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9608,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9608-239998.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9609,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9609-940641.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9610,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9610-342776.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9611,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9611-607920.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9612,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9612-838778.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9613,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9613-835063.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9614,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9614-962413.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9615,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9615-996213.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9616,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9616-711173.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9617,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9617-972335.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9618,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9618-936238.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9619,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9619-127843.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9620,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9620-462675.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9621,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9621-321126.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9622,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9622-668996.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9623,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9623-531476.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9624,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9624-394265.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9625,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9625-937337.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9626,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9626-749027.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9627,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9627-471254.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9628,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9628-436263.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9629,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9629-687918.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9630,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9630-530380.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9631,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9631-432706.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9632,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9632-343594.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9633,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9633-418970.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9634,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9634-454118.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9635,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9635-275435.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9636,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9636-721884.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9637,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9637-462287.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9638,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9638-315079.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9639,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9639-150297.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9640,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9640-344347.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9641,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9641-487242.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9642,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9642-716357.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9643,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9643-215059.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9644,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9644-751146.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9645,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9645-976943.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9646,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9646-831642.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9647,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9647-786915.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9648,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9648-364654.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9649,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9649-417608.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9650,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9650-400534.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9651,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9651-518811.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9652,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9652-281674.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9653,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9653-764834.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9654,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9654-528003.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9655,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9655-630703.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9656,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9656-527658.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9657,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9657-352366.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9658,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9658-888004.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9659,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9659-513692.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9660,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9660-304731.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9661,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9661-708119.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9662,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9662-157570.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9663,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9663-608418.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9664,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9664-194055.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9665,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9665-560035.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9666,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9666-635646.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9667,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9667-435363.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9668,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9668-545711.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9669,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9669-900192.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9670,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9670-618305.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9671,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9671-429258.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9672,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9672-486754.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9673,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9673-901266.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9674,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9674-684447.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9675,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9675-764085.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9676,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9676-820419.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9677,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9677-704867.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9678,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9678-144771.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9679,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9679-214221.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9680,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9680-966285.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9681,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9681-495026.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9682,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9682-493379.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9683,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9683-109315.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9684,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9684-498939.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9685,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9685-917331.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9686,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9686-776598.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9687,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9687-109640.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9688,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9688-144237.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9689,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9689-566631.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9690,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9690-615917.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9691,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9691-580037.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9692,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9692-141475.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9693,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9693-474154.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9694,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9694-687515.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9695,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9695-363582.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9696,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9696-683043.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9697,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9697-384871.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9698,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9698-329065.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9699,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9699-613253.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9700,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9700-417935.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9701,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9701-883380.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9702,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9702-331563.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9703,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9703-228572.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9704,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9704-845204.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9705,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9705-548703.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9706,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9706-921722.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9707,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9707-604735.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9708,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9708-543980.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9709,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9709-978258.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9710,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9710-687414.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9711,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9711-842726.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9712,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9712-585232.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9713,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9713-410141.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9714,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9714-434082.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9715,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9715-733709.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9716,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9716-967035.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9717,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9717-323627.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9718,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9718-355484.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9719,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9719-428713.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9720,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9720-736326.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9721,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9721-543268.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9722,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9722-321067.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9723,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9723-363172.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9724,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9724-686408.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9725,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9725-417715.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9726,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9726-250930.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9727,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9727-824591.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9728,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9728-817329.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9729,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9729-219750.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9730,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9730-781672.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9731,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9731-299912.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9732,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9732-998275.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9733,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9733-254884.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9734,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9734-745620.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9735,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9735-740250.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9736,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9736-297129.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9737,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9737-698753.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9738,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: long-context; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9738-501434.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9739,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9739-175031.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9740,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9740-519843.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9741,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9741-324971.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9742,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9742-398446.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9743,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9743-128194.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9744,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9744-434452.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9745,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9745-873480.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9746,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9746-790532.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9747,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9747-121705.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9748,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9748-830104.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9749,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9749-875440.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9750,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9750-176611.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9751,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9751-469415.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9752,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9752-788422.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9753,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9753-210497.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9754,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9754-187687.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9755,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9755-343603.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9756,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9756-425709.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9757,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9757-613313.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9758,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9758-402645.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9759,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9759-403069.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9760,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9760-901210.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9761,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9761-941317.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9762,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9762-996365.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9763,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9763-231027.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9764,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9764-935504.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9765,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9765-367540.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9766,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9766-323879.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9767,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9767-860004.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9768,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9768-249059.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9769,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: quality-check; Format: qa-pair; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9769-412599.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9770,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9770-701032.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9771,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9771-404736.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9772,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9772-493939.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9773,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9773-820346.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9774,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9774-432205.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9775,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9775-181216.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9776,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9776-985387.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9777,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9777-224409.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9778,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9778-979377.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9779,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9779-999677.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9780,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9780-390951.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9781,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9781-330922.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9782,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9782-577605.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9783,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9783-477523.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9784,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9784-484090.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9785,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9785-460921.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9786,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9786-352351.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9787,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9787-370163.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9788,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9788-997739.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9789,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9789-130308.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9790,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9790-120239.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9791,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9791-334116.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9792,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9792-703221.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9793,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9793-153627.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9794,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9794-593532.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9795,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9795-700943.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9796,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9796-196719.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9797,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9797-961733.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9798,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9798-399458.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9799,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9799-965789.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9800,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9800-924279.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9801,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: long-context; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9801-572983.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9802,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9802-776243.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9803,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9803-626512.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9804,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9804-300695.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9805,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9805-579378.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9806,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9806-319743.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9807,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9807-245176.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9808,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9808-656187.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9809,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9809-360105.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9810,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9810-894068.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9811,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9811-928002.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9812,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9812-664541.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9813,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9813-652520.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9814,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9814-760823.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9815,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9815-334209.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9816,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9816-687327.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9817,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9817-245591.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9818,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9818-212418.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9819,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9819-876999.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9820,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9820-826595.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9821,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9821-100315.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9822,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9822-295236.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9823,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9823-816094.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9824,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9824-558488.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9825,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9825-415760.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9826,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9826-476759.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9827,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9827-684890.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9828,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9828-138592.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9829,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9829-298637.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9830,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9830-313594.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9831,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9831-769183.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9832,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9832-533932.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9833,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9833-106586.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9834,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9834-680391.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9835,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9835-747428.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9836,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9836-151279.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9837,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9837-402016.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9838,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9838-772002.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9839,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9839-452070.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9840,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9840-831689.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9841,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9841-983553.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9842,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9842-811331.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9843,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9843-132633.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9844,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9844-646207.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9845,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9845-314400.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9846,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9846-578138.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9847,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9847-708267.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9848,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9848-648291.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9849,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: robustness-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9849-953494.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9850,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9850-320947.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9851,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9851-208331.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9852,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9852-840046.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9853,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9853-408820.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9854,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9854-838726.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9855,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9855-723791.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9856,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9856-505594.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9857,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9857-515766.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9858,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9858-993492.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9859,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: long-context; Language: EN-US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9859-140483.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9860,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9860-408430.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9861,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9861-737191.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9862,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9862-551837.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9863,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9863-733565.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9864,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9864-497690.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9865,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9865-958914.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9866,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9866-491652.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9867,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9867-815593.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9868,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9868-346863.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9869,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9869-397100.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9870,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9870-964646.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9871,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9871-914729.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9872,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9872-460109.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9873,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9873-334195.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9874,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9874-546540.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9875,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9875-220657.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9876,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9876-500232.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9877,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9877-647569.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9878,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9878-738282.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9879,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: qa-pair; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9879-963981.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9880,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9880-633858.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9881,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; 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: 9881-559117.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9882,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9882-168033.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9883,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN-US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9883-964570.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9884,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9884-331050.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9885,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: detailed; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9885-646899.",hr-tech rag-evaluation benchmark instruction en-us,detailed,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9886,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9886-688445.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9887,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9887-534852.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9888,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: qa-pair; Language: EN_US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9888-902108.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9889,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9889-538729.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9890,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9890-136417.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9891,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: production-ready; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9891-276709.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9892,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9892-292482.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9893,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9893-405460.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9894,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9894-986515.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9895,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9895-702068.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9896,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: long-context; Language: EN-US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9896-229740.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9897,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: long-context; Language: EN_US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9897-860855.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9898,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9898-765221.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9899,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: EN-US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9899-438499.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9900,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: qa-pair; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9900-816287.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9901,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9901-675030.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9902,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN-US; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9902-240290.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9903,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9903-601934.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9904,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9904-705156.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9905,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9905-509293.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9906,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: long-context; Language: EN_US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9906-756441.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9907,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9907-636707.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9908,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9908-264452.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9909,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: robustness-check; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9909-287318.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9910,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9910-215423.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9911,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9911-539776.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9912,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9912-492231.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9913,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9913-761769.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9914,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9914-194944.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9915,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9915-961925.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9916,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9916-172005.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9917,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9917-427690.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9918,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: minimal; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9918-741973.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9919,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9919-557995.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9920,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9920-476324.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9921,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9921-670651.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9922,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9922-980277.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9923,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9923-536261.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9924,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: clean; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9924-599874.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9925,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN-US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9925-184675.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9926,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9926-343751.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9927,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: production-ready; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9927-884714.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9928,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9928-757407.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9929,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: EN-US; Style: clean; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9929-970906.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9930,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: detailed; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9930-273382.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9931,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9931-992042.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9932,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9932-800332.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9933,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: PT-BR; Style: clean; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9933-979416.",hr-tech rag-evaluation benchmark instruction en-us,minimal,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9934,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: long-context; Language: EN-US; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9934-114378.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9935,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9935-385363.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9936,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9936-983534.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9937,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9937-928300.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9938,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9938-466687.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9939,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9939-603036.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9940,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9940-456781.",hr-tech rag-evaluation benchmark instruction en-us,clean,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9941,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9941-264978.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9942,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9942-479627.",hr-tech rag-evaluation benchmark instruction en-us,clean,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9943,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9943-722560.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9944,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9944-623302.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9945,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9945-181689.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9946,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9946-599919.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9947,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9947-426500.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9948,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN_US; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9948-993642.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9949,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9949-226823.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9950,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9950-592703.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9951,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9951-526646.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9952,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: qa-pair; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9952-620886.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9953,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9953-667006.",hr-tech rag-evaluation benchmark instruction en-us,stylized,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9954,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9954-872384.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9955,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: benchmarking; Format: qa-pair; Language: EN_US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9955-899688.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9956,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9956-872825.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9957,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9957-100540.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9958,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ai researcher; Task: benchmarking; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9958-610359.",hr-tech rag-evaluation benchmark instruction en-us,clean,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9959,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: quality-check; Format: instruction; Language: EN-US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9959-420522.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9960,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9960-500299.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9961,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; 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: 9961-593165.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9962,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9962-321963.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9963,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: robustness-check; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9963-532997.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9964,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9964-877608.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9965,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: grounding-check; Format: long-context; Language: EN-US; Style: clean; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9965-410106.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9966,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9966-155028.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9967,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: platform engineer; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9967-368141.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9968,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ml engineer; Task: robustness-check; Format: instruction; Language: EN_US; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9968-426163.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9969,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN_US; Style: minimal; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9969-303556.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9970,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9970-565738.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9971,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9971-564464.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9972,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: benchmarking; Format: instruction; Language: PT-BR; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9972-385477.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9973,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9973-914073.",hr-tech rag-evaluation benchmark instruction en-us,detailed,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9974,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: platform engineer; Task: benchmarking; Format: long-context; Language: EN_US; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9974-935990.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9975,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: grounding-check; Format: instruction; Language: EN-US; Style: cinematic; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9975-610828.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9976,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9976-800272.",hr-tech rag-evaluation benchmark instruction en-us,production-ready,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9977,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: grounding-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9977-998847.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9978,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9978-124404.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9979,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9979-347805.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9980,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; 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: 9980-842679.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9981,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: grounding-check; Format: long-context; Language: EN-US; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9981-827738.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9982,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: quality-check; Format: long-context; Language: EN_US; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9982-549858.",hr-tech rag-evaluation benchmark instruction en-us,stylized,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9983,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; 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: 9983-873639.",hr-tech rag-evaluation benchmark instruction en-us,stylized,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9984,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: platform engineer; Task: grounding-check; Format: instruction; Language: EN_US; Style: stylized; Quality: high-precision; Constraint: unique prompt, practical output, dataset-ready; Token: 9984-925420.",hr-tech rag-evaluation benchmark instruction en-us,minimal,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9985,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: data scientist; Task: benchmarking; Format: instruction; Language: PT-BR; Style: detailed; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9985-696485.",hr-tech rag-evaluation benchmark instruction en-us,clean,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9986,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: ml engineer; Task: robustness-check; Format: qa-pair; Language: PT-BR; Style: stylized; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9986-478781.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9987,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9987-836984.",hr-tech rag-evaluation benchmark instruction en-us,detailed,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9988,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9988-301010.",hr-tech rag-evaluation benchmark instruction en-us,detailed,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9989,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: data scientist; Task: grounding-check; Format: instruction; Language: PT-BR; Style: detailed; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9989-251435.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
9990,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9990-752125.",hr-tech rag-evaluation benchmark instruction en-us,detailed,high-precision,2026-02-22T20:45:04.849015Z,1.0000,ok
9991,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: data scientist; Task: benchmarking; Format: instruction; Language: EN-US; Style: production-ready; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9991-355962.",hr-tech rag-evaluation benchmark instruction en-us,cinematic,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9992,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: hr-tech-rag-evaluation; Persona: data scientist; Task: robustness-check; Format: instruction; Language: PT-BR; Style: stylized; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9992-114663.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9993,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 9993-409810.",hr-tech rag-evaluation benchmark instruction en-us,stylized,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9994,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ml engineer; Task: quality-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9994-871336.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9995,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: benchmarking; Format: long-context; Language: PT-BR; Style: production-ready; Quality: commercial; Constraint: unique prompt, practical output, dataset-ready; Token: 9995-743644.",hr-tech rag-evaluation benchmark instruction en-us,clean,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9996,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-instruction; Persona: ai researcher; Task: robustness-check; Format: instruction; Language: PT-BR; Style: cinematic; Quality: benchmark-grade; Constraint: unique prompt, practical output, dataset-ready; Token: 9996-643885.",hr-tech rag-evaluation benchmark instruction en-us,minimal,premium,2026-02-22T20:45:04.849015Z,1.0000,ok
9997,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation; Persona: ml engineer; Task: quality-check; Format: instruction; Language: EN_US; Style: cinematic; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9997-957797.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok
9998,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: ai researcher; Task: quality-check; Format: instruction; Language: PT-BR; Style: clean; Quality: consistent; Constraint: unique prompt, practical output, dataset-ready; Token: 9998-905973.",hr-tech rag-evaluation benchmark instruction en-us,stylized,commercial,2026-02-22T20:45:04.849015Z,1.0000,ok
9999,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-production; Persona: platform engineer; Task: robustness-check; Format: instruction; Language: PT-BR; Style: minimal; Quality: premium; Constraint: unique prompt, practical output, dataset-ready; Token: 9999-240510.",hr-tech rag-evaluation benchmark instruction en-us,minimal,benchmark-grade,2026-02-22T20:45:04.849015Z,1.0000,ok
10000,"Theme: hr-tech rag-evaluation benchmark instruction en-us; Domain: rag-evaluation-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: 10000-578458.",hr-tech rag-evaluation benchmark instruction en-us,minimal,consistent,2026-02-22T20:45:04.849015Z,1.0000,ok