Add WISA5000 TI2V train/test split v1

.gitattributes

@@ -64,3 +64,5 @@ data/physics_cards_v7/raw_retrieval/retrieval_index_eligible.jsonl filter=lfs di
 data/physics_cards_v7/raw_retrieval/retrievals_clean_v21.jsonl filter=lfs diff=lfs merge=lfs -text
 data/physics_cards_v7/training_mapping/query_demo_map.jsonl filter=lfs diff=lfs merge=lfs -text
 data/physics_cards_v7/training_mapping/training_pairs_1demo.jsonl filter=lfs diff=lfs merge=lfs -text
+data/wisa5000_ti2v_data_v1/train_pairs.jsonl filter=lfs diff=lfs merge=lfs -text
+data/wisa5000_ti2v_data_v1/video_metadata.jsonl filter=lfs diff=lfs merge=lfs -text

data/wisa5000_ti2v_data_v1/README.md

@@ -0,0 +1,51 @@
+---
+pretty_name: Physical-ICL WISA5000 TI2V Data v1
+---
+
+# Physical-ICL WISA5000 TI2V Data v1
+
+This directory is the metadata-only train/test package derived from the frozen Physics Card v7 / alpha-3 WISA5000 retrieval pool. It is intended for text-and-image-to-video Physical-ICL experiments in which a model is trained on directed physical demonstration pairs and evaluated on 100 held-out query videos with one reviewed oracle demo per query.
+
+No video or first-frame files are included. Media are resolved by `sample_id`; users must obtain the corresponding WISA videos under their applicable access and licensing terms. The package does not grant redistribution rights for the source media.
+
+## Counts
+
+| Artifact | Count |
+| --- | ---: |
+| Required unique videos | 4,118 |
+| Metadata rows | 4,118 |
+| Train pairs | 37,415 |
+| Held-out test queries | 100 |
+| Test query-demo pairs | 100 |
+| Unique test demos | 99 |
+
+## Files
+
+- `video_metadata.jsonl`: one row per required video with the original WISA caption, the full successful Physics Card, and train/test roles.
+- `train_pairs.jsonl`: directed training relations with retrieval scores.
+- `test100_1demo.jsonl`: one reviewed oracle demonstration per held-out test query.
+- `test100_ids_final.txt`: the 100 held-out query IDs.
+- `required_wisa_ids.txt`: exact union of every query/demo endpoint referenced by train or test.
+- `split_summary_final.json`: split construction and declared invariants.
+- `dataset_summary.json`: storage, text, Physics Card, and count policies.
+- `retrieval_summary_clean_v21.json`: frozen retrieval configuration and aggregate statistics.
+- `VALIDATION_REPORT.json`: independent structural and leakage audit performed before upload.
+- `SHA256SUMS`: SHA-256 for every file except the checksum manifest itself.
+
+## Split semantics
+
+The 100 test query IDs are removed as both queries and demos from training. Starting from 39,260 source relations, removing every edge incident to a test query yields exactly 37,415 train pairs; 1,845 relations are removed.
+
+At evaluation time, each test query receives its listed `demo_id`. Every test demo belongs to the train bank and is not itself a test target. This is an **oracle Physical-ICL demo evaluation** rather than an evaluation of an automatic demo selector.
+
+Do not reconstruct a random pair-row split. Use the supplied split directly, and never use a test query video as training input or context.
+
+## TI2V media preparation
+
+Resolve every ID in `required_wisa_ids.txt` to its source video. The package intentionally does not prescribe or include first-frame extraction. Record the chosen decoding backend, frame index/timestamp, color conversion, resizing, and cropping policy so train and test inputs are reproducible.
+
+## Known limitation: visual copy risk
+
+Video-ID leakage is eliminated, and text screening found no exact query-demo caption, event-summary, or raw-event-description duplicates. However, all 100 test pairs remain marked `visual_copy_risk_status = unreviewed`. Text screening is not a substitute for perceptual/video near-duplicate detection. Do not claim near-duplicate-safe generalization until the source videos have been checked visually or clustered with a suitable video fingerprint/embedding method.
+
+The annotation and retrieval workflow is available in the [`physical_icl/`](https://github.com/chengye629/Physical-VICL/tree/main/physical_icl) module.

data/wisa5000_ti2v_data_v1/SHA256SUMS

@@ -0,0 +1,10 @@
+27286cad2275b0d749373105236879388bfaf444040da1db9c0c1f9795ccd787  ./dataset_summary.json
+4678fa915387d91a3b2827b63370adc541ad2defdd30b030a92bdaf887116905  ./README.md
+10ac237b89fcf423e5ef4c6243c0cab429e43c095b30e2466e06c06ee00a7ead  ./required_wisa_ids.txt
+67f704543e90ce9feeb5f5273cfa593f434fa5f14694f3ef61c557c16d3aa46e  ./retrieval_summary_clean_v21.json
+ec886bb2093302eea23c9bd8723ad580d6c61df0dca058844ca0729fe3d6e8c6  ./split_summary_final.json
+66ddeb7a1ca01a4f081b1cb597d0d16e980ac89b327840c4683df78dbd74ee87  ./test100_1demo.jsonl
+f0eedc51b91e1dfe8f4c9cc7ce3ad657b40cf03c7654fd8b4a4c27da758a99d1  ./test100_ids_final.txt
+d8ff5eb4c944d492e49464409cef024860258844a436397f411ea4b7291e4c1d  ./train_pairs.jsonl
+f115c7753e6f869580212e8367d974c1c4c32803907f5c0e9ffd333b329b174f  ./VALIDATION_REPORT.json
+9ba3f66593820aeecb4da848f876a5e5cfb7400a7c5dab230e7efcaf76421383  ./video_metadata.jsonl

data/wisa5000_ti2v_data_v1/VALIDATION_REPORT.json

@@ -0,0 +1,62 @@
+{
+  "status": "PASS_WITH_DECLARED_VISUAL_COPY_RISK_LIMITATION",
+  "source_archive": {
+    "name": "physical_icl_wisa5000_ti2v_data_v1.tar.gz",
+    "sha256": "5892cee3dca500ecd60bc19ec8f9f4beb7ff1424deef2094c722a0ac40853170"
+  },
+  "archive_safety": {
+    "members": 10,
+    "files": 9,
+    "links": 0,
+    "unsafe_paths": 0
+  },
+  "counts": {
+    "test_rows": 100,
+    "test_query_ids": 100,
+    "unique_test_demos": 99,
+    "train_pair_rows": 37415,
+    "video_metadata_rows": 4118,
+    "required_unique_video_ids": 4118
+  },
+  "integrity": {
+    "input_checksum_mismatches": 0,
+    "duplicate_test_edges": 0,
+    "duplicate_train_edges": 0,
+    "self_pairs": 0,
+    "metadata_id_mismatches": 0,
+    "required_endpoint_union_mismatches": 0,
+    "missing_or_failed_physics_cards": 0,
+    "empty_instructions": 0,
+    "path_or_media_fields": 0,
+    "absolute_path_hits": 0
+  },
+  "split_invariants": {
+    "test_query_in_train_query": 0,
+    "test_query_in_train_demo": 0,
+    "test_demo_is_test_target": 0,
+    "test_demo_missing_train_bank_role": 0,
+    "source_directed_pairs": 39260,
+    "removed_test_incident_pairs": 1845,
+    "expected_train_pairs": 37415,
+    "missing_expected_train_pairs": 0,
+    "extra_train_pairs": 0,
+    "test_pairs_not_in_source_retrieval": 0
+  },
+  "test_pair_text_screen": {
+    "exact_instruction_matches": 0,
+    "exact_event_summary_matches": 0,
+    "exact_raw_event_description_matches": 0,
+    "event_sequence_similarity_ge_0_9": 0,
+    "event_token_jaccard_ge_0_8": 0,
+    "instruction_token_jaccard_ge_0_8": 0
+  },
+  "test_pair_scores": {
+    "language": {"min": 0.8415918350219727, "mean": 0.9096818822622299, "max": 0.9712212979793549},
+    "physical": {"min": 0.5645029422099568, "mean": 0.7929590604001333, "max": 0.9379844250882406},
+    "rank": {"min": 0.593373716752694, "mean": 0.8046313425863431, "max": 0.9407030864898628}
+  },
+  "declared_limitation": {
+    "visual_copy_risk_status": "unreviewed for all 100 test pairs",
+    "interpretation": "Video-ID leakage is eliminated, but visual/perceptual near-duplicate safety has not been established."
+  }
+}

data/wisa5000_ti2v_data_v1/dataset_summary.json

@@ -0,0 +1,36 @@
+{
+  "version": "ti2v_metadata_final_v1",
+  "storage_policy": {
+    "video_files_included": false,
+    "first_frame_files_included": false,
+    "absolute_paths_included": false,
+    "video_resolution_key": "sample_id"
+  },
+  "text_policy": {
+    "instruction": "original WISA caption",
+    "instruction_source": "wisa_original",
+    "vlm_event_description": "retained inside Physics Card when present"
+  },
+  "physics_card_policy": {
+    "full_card_retained": true,
+    "stored_once_per_video": true,
+    "media_and_path_fields_removed": true
+  },
+  "counts": {
+    "required_unique_videos": 4118,
+    "video_metadata_rows": 4118,
+    "train_pair_rows": 37415,
+    "test_pair_rows": 100,
+    "test_query_count": 100,
+    "unique_test_demo_count": 99
+  },
+  "split_invariants": {
+    "test_query_in_train_pairs": false,
+    "test_video_as_train_demo": false,
+    "test_demo_is_test_target": false
+  },
+  "copy_risk": {
+    "video_id_level_split_safe": true,
+    "visual_near_duplicate_cleaning": "pending"
+  }
+}

data/wisa5000_ti2v_data_v1/retrieval_summary_clean_v21.json

@@ -0,0 +1,103 @@
+{
+  "method": "semantic_recall -> reliability_aware_physics_matching -> confidence_filtering -> MMR",
+  "query_count": 4151,
+  "language_top_k": 500,
+  "demo_count_max": 10,
+  "mmr_lambda": 0.85,
+  "thresholds": {
+    "language": 0.84,
+    "process": 0.55,
+    "physical": 0.55
+  },
+  "weights": {
+    "dimension": {
+      "object": 0.2,
+      "process": 0.45,
+      "impact": 0.3,
+      "mechanism": 0.05
+    },
+    "structured_semantic": {
+      "object": [
+        0.6,
+        0.4
+      ],
+      "process_canonical": [
+        0.75,
+        0.25
+      ],
+      "process_open_vocab": [
+        0.4,
+        0.6
+      ],
+      "impact": [
+        0.8,
+        0.2
+      ],
+      "mechanism": [
+        0.8,
+        0.2
+      ]
+    },
+    "final_rank": {
+      "physical": 0.9,
+      "language": 0.1
+    }
+  },
+  "selection": {
+    "queries_with_any_demo": 4116,
+    "queries_with_full_demo_count": 3727,
+    "queries_with_zero_demo": 35,
+    "mean_demo_count": 9.457961936882679,
+    "median_demo_count": 10.0,
+    "min_demo_count": 0,
+    "max_demo_count": 10,
+    "mean_candidates_before_filter": 500.0,
+    "mean_candidates_after_filter": 87.05059021922429,
+    "rejection_reason_counts": {
+      "physical": 1176020,
+      "process": 999813,
+      "language": 1467808
+    }
+  },
+  "selected_pair_metrics": {
+    "pair_count": 39260,
+    "same_family_rate": 0.9916709118695873,
+    "exact_type_rate_all": 0.6831380539989812,
+    "exact_type_rate_when_both_known": 0.9255935946990613,
+    "mean_language_score": 0.8969741343859805,
+    "mean_process_score": 0.8348419888046344,
+    "mean_physical_score": 0.7663681462475126,
+    "mean_impact_axis_overlap": 0.8970283066802814,
+    "mean_mechanism_family_overlap": 0.8496262804470656
+  },
+  "selected_pair_metrics_by_query_mode": {
+    "canonical": {
+      "pair_count": 32254,
+      "same_family_rate": 1.0,
+      "exact_type_rate_all": 0.8315247721212873,
+      "exact_type_rate_when_both_known": 0.9255935946990613,
+      "mean_language_score": 0.8977728136008084,
+      "mean_process_score": 0.8319061576292934,
+      "mean_physical_score": 0.7653422652476134,
+      "mean_impact_axis_overlap": 0.8958699588546866,
+      "mean_mechanism_family_overlap": 0.8508834020553568
+    },
+    "open_vocab": {
+      "pair_count": 7006,
+      "same_family_rate": 0.9533257208107336,
+      "exact_type_rate_all": 0.0,
+      "exact_type_rate_when_both_known": null,
+      "mean_language_score": 0.8932972004158035,
+      "mean_process_score": 0.8483578750063826,
+      "mean_physical_score": 0.7710910645704858,
+      "mean_impact_axis_overlap": 0.9023610715627722,
+      "mean_mechanism_family_overlap": 0.8438387839649327
+    }
+  },
+  "notes": [
+    "No hard process-family gate is used.",
+    "No exact-type bonus, family bonus, same-family augmentation, or exact-type augmentation is used.",
+    "Canonical/open-vocabulary status only controls the reliability interpolation between structured and semantic Process similarity.",
+    "A query may return fewer than K demos, including zero, when candidates fail calibrated confidence thresholds."
+  ]
+}

data/wisa5000_ti2v_data_v1/split_summary_final.json

@@ -0,0 +1,29 @@
+{
+  "version": "test100_oracle_final_v1",
+  "test_target_count": 100,
+  "test_demo_pair_count": 100,
+  "unique_test_ids": 100,
+  "source_directed_pair_count": 39260,
+  "train_directed_pair_count": 37415,
+  "removed_incident_directed_pairs": 1845,
+  "train_query_count": 4051,
+  "train_queries_with_zero_demo": 36,
+  "replaced_test_indices": [
+    28,
+    45
+  ],
+  "fallback_demo_indices": [
+    20,
+    48,
+    98
+  ],
+  "invariants": {
+    "test_video_never_train_query": true,
+    "test_video_never_train_demo": true,
+    "test_demo_from_train_bank": true,
+    "test_demo_not_test_target": true,
+    "one_demo_per_test_query": true
+  },
+  "evaluation_type": "oracle Physical-ICL demo evaluation",
+  "visual_copy_risk_status": "unreviewed"
+}

data/wisa5000_ti2v_data_v1/test100_1demo.jsonl

@@ -0,0 +1,100 @@
+{"query_id": "0128321b8b69e35c26baef2c6e021b286da447b46bacecc4eebe108fb5f1557a", "demo_id": "43669429188c5ec64368991c4774a188404e0b4e4c04b3bb0f6bcbed75af1e30", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.7748375768190962, "language_score": 0.8751303553581238, "physical_score": 0.7636939347592042, "dimension_scores": {"object": 0.5961030101211042, "process": 0.8279261509378866, "impact": 0.7998027483622233, "mechanism": 0.6393148060853497}, "impact_axis_overlap": 1.0, "mechanism_family_overlap": 1.0}}
+{"query_id": "01512086463e556bb7dab1c5abc5541319faf463c41f586149fe84ba630e9e03", "demo_id": "725d9642f403be64091b16fe149f6ef13b59761271cd0a5e2a8958e5ad8b3175", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.8118440024298521, "language_score": 0.9288322627544403, "physical_score": 0.7988453068382311, "dimension_scores": {"object": 0.6986480603861333, "process": 0.8680096864700317, "impact": 0.8003618901426142, "mechanism": 0.568055376134118}, "impact_axis_overlap": 1.0, "mechanism_family_overlap": 0.6059647068327372}}
+{"query_id": "01ba5e0743b7b8e4cb23aa53fb65cd06aeba8992824b9d5469dff425bcbdb6ec", "demo_id": "46a1c4b9a8ead2ea802c5a8c08650588158cd44135a63516a1f25b2e2a10a18a", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.7378402713952306, "language_score": 0.8790543973445892, "physical_score": 0.7221498129564129, "dimension_scores": {"object": 0.7871428715516644, "process": 0.7541596120814946, "impact": 0.6437780673004861, "mechanism": 0.6443198603852305}, "impact_axis_overlap": 1.0, "mechanism_family_overlap": 0.6485114975336137}}
+{"query_id": "04cf942bfbfc3ef2c0153e077fdfc3f3f839ba6ca3aade2ee4c90f12262240d3", "demo_id": "56ef3997a40731c22b06fa75bbd12148b61cb348c205616d05db320f501a5c5c", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.6905260845105714, "language_score": 0.884367823600769, "physical_score": 0.6689881135005494, "dimension_scores": {"object": 0.7554367227597296, "process": 0.7650138811242616, "impact": 0.44824455226218407, "mechanism": 0.7834231352806091}, "impact_axis_overlap": 0.4353818671214818, "mechanism_family_overlap": 1.0}}
+{"query_id": "051e9ae7a7605e3a05e422c08bba04f7c86d69f559750f0c863303befb623ae6", "demo_id": "1ec98c65b137ef1657341159fe2ff467aeddddd49d943fafaa1bfef1bf150f98", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.8956367652602385, "language_score": 0.9492453932762146, "physical_score": 0.8896802510362412, "dimension_scores": {"object": 0.9720485200881959, "process": 0.9030107969516201, "impact": 0.8685420142279732, "mechanism": 0.5670616824396195}, "impact_axis_overlap": 1.0, "mechanism_family_overlap": 1.0}}
+{"query_id": "057805289df09c72f7500255aafb8fe563cb0e3f138d25776cc5dbb1bedbe9b4", "demo_id": "1a8887bced44f58bcccdbfecb504830425d613bf9d2a7f7ad19f62c4f39da020", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.8258329627147689, "language_score": 0.9272072017192841, "physical_score": 0.8145691583809338, "dimension_scores": {"object": 0.6395906985869032, "process": 0.8966727931682881, "impact": 0.8495113492012025, "mechanism": 0.5658971395492554}, "impact_axis_overlap": 1.0, "mechanism_family_overlap": 1.0}}
+{"query_id": "066fc08e02c76ceb87ec61500c9203ef423f32d6106df3aef5adf68bf350f0cc", "demo_id": "17c1da8f2233bdc765204823a2c1fab45de8f34233757d671179863e013bd738", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.7862015962394561, "language_score": 0.9640998542308807, "physical_score": 0.7664351231292977, "dimension_scores": {"object": 0.8064141754124141, "process": 0.9039500764600134, "impact": 0.5357279935266466, "mechanism": 0.7531271116362979}, "impact_axis_overlap": 0.6429340039779264, "mechanism_family_overlap": 1.0}}
+{"query_id": "08fe7d34f7e81678e0faded477de647d8131a88b0c009c9603c5a67dada9c334", "demo_id": "7f9c8cc69afe05a07cc976ee06fcaeb101a6c169ddd63543d25bc21abde26afa", "split": "test100", "evaluation_type": "oracle_physical_icl", "demo_selection_source": "top3_text_review", "demo_selection_reason": null, "visual_copy_risk_status": "unreviewed", "retrieval": {"rank_score": 0.8173964166518641, "language_score": 0.9326353669166565, "physical_score": 0.8045920888446649, "dimension_scores": {"object": 0.6097933927763783, "process": 0.8584725622160956, "impact": 0.8374372824378636, "mechanism": 0.901791451215744}, "impact_axis_overlap": 1.0, "mechanism_family_overlap": 1.0}}
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