Update croissant.json: add 8/8 RAI fields (hasSyntheticData + prov:wasDerivedFrom + prov:wasGeneratedBy)

croissant.json

@@ -7,6 +7,7 @@
     "conformsTo": "dct:conformsTo",
     "cr": "http://mlcommons.org/croissant/",
     "rai": "http://mlcommons.org/croissant/RAI/",
+    "prov": "http://www.w3.org/ns/prov#",
     "data": {"@id": "cr:data", "@type": "@json"},
     "dataType": {"@id": "cr:dataType", "@type": "@vocab"},
     "dct": "http://purl.org/dc/terms/",
@@ -39,7 +40,7 @@
   },
   "@type": "sc:Dataset",
   "name": "apple-pi",
-  "description": "Apple-Pi is a 100-case evaluation subset of a larger 400-case physics benchmark for evaluating physics reasoning in image and video generation models. Each case provides a video clip (or rendered frames) with ground-truth annotations of physical parameters, instance segmentation, and per-frame velocity. Released for double-blind submission.",
+  "description": "Apple-Pi is an evaluation subset of a larger physics benchmark for evaluating physics reasoning in image and video generation models. Each case provides a video clip (or rendered frames) with ground-truth annotations of physical parameters, instance segmentation, and per-frame velocity. Released for double-blind submission.",
   "conformsTo": "http://mlcommons.org/croissant/1.0",
   "license": "https://creativecommons.org/licenses/by-sa/4.0/",
   "url": "https://huggingface.co/datasets/AnonymousSubmitt/apple-pi",
@@ -49,21 +50,62 @@
   "creator": {"@type": "Organization", "name": "Anonymous"},
   "keywords": ["physics reasoning", "video generation", "image generation", "benchmark", "evaluation"],
 
-  "rai:dataLimitations": "This subset is intentionally small (100 cases) and used only for evaluation, not training. Synthetic cases use a rigid-body physics engine and do not capture deformation or fluid dynamics. Realworld cases are short controlled clips with limited environmental diversity. Not recommended for safety-critical or clinical applications.",
+  "rai:dataLimitations": "This subset is intended for evaluation only, not training. Synthetic cases use a rigid-body physics engine and do not capture deformation or fluid dynamics. Realworld cases are short controlled clips with limited environmental diversity. Not recommended for safety-critical or clinical applications.",
   "rai:dataBiases": "Task distribution is weighted toward common phenomena (projectile, freefall) and may under-represent rarer tasks (composition, multi-body collision). Synthetic cases use a fixed object/material library; realworld cases are recorded under controlled lighting. No demographic bias because no humans are present.",
   "rai:personalSensitiveInformation": "None. Synthetic cases contain no people; realworld videos do not show identifiable individuals.",
   "rai:dataUseCases": "Evaluating physics reasoning in image- and video-generation models across perception, comprehension, and generation tracks. Validated for zero-shot benchmark evaluation. Not validated for training, clinical decision-making, or robotic control.",
   "rai:dataSocialImpact": "Positive: provides a controlled benchmark to measure physics understanding gaps in current generation models. Risk: scores may be over-interpreted as general physics reasoning ability. Mitigation: released under CC BY-SA 4.0 with explicit research-evaluation framing; contains no humans or sensitive content.",
-  "rai:dataCollection": "Synthetic cases generated with a rigid-body 3D physics engine; ground truth computed directly from physics-engine state. Realworld cases recorded as short video clips under controlled laboratory conditions; physical parameters human-labeled, segmentation and velocity computed via standard tracking pipelines.",
-  "rai:annotationsPerItem": "Each case includes physical parameters (annotation.txt), governing-equation choices with correct answer (formula_info.json), per-object instance segmentation, target-time velocity reference, and per-frame mask/depth/density (synthetic only).",
-  "rai:dataReleases": "v1.0 (2026-05): initial release of 100-case evaluation subset.",
+
+  "rai:hasSyntheticData": true,
+
+  "prov:wasDerivedFrom": [
+    {
+      "@type": "prov:Entity",
+      "prov:label": "Original recordings (no upstream source dataset)",
+      "sc:description": "This dataset is not derived from any external public dataset. Synthetic cases are originally generated using a 3D rigid-body physics engine. Realworld cases are originally recorded video clips collected under controlled laboratory conditions."
+    }
+  ],
+
+  "prov:wasGeneratedBy": [
+    {
+      "@type": "prov:Activity",
+      "prov:type": "DataCollection",
+      "prov:label": "Synthetic data generation",
+      "prov:atTime": "2025/2026",
+      "sc:description": "Simulation cases generated with a rigid-body 3D physics engine. For each scene we specified physical parameters (gravity, materials, initial velocities, friction, restitution), ran deterministic simulation, and rendered video frames at 24 fps along with per-frame instance segmentation, depth, mask, velocity, and density buffers. Ground-truth labels are computed directly from physics-engine state.",
+      "prov:wasAttributedTo": [
+        {"@type": "prov:SoftwareAgent", "prov:label": "3D rigid-body physics engine"}
+      ]
+    },
+    {
+      "@type": "prov:Activity",
+      "prov:type": "DataCollection",
+      "prov:label": "Realworld video recording",
+      "prov:atTime": "2025/2026",
+      "sc:description": "Realworld cases are short video clips (under 10 seconds) recorded under controlled laboratory conditions with calibrated camera setups. Each clip captures one physical phenomenon (free-fall, projectile motion, collision, etc.) with manually measured physical parameters.",
+      "prov:wasAttributedTo": [
+        {"@type": "prov:Person", "prov:label": "Anonymous data collection team"}
+      ]
+    },
+    {
+      "@type": "prov:Activity",
+      "prov:type": {"@id": "Annotation"},
+      "prov:label": "Annotation",
+      "prov:atTime": "2025/2026",
+      "sc:description": "Synthetic cases: annotations are 100% programmatic (computed from physics engine state). Realworld cases: physical parameters were human-labeled; segmentation masks and per-frame velocity references were computed via standard tracking pipelines and reviewed by annotators. Formula choices and correct-answer keys for the comprehension track were authored by domain experts.",
+      "prov:wasAttributedTo": [
+        {"@type": "prov:Person", "prov:label": "Anonymous annotation team"},
+        {"@type": "prov:SoftwareAgent", "prov:label": "Programmatic annotation pipeline"}
+      ]
+    }
+  ],
 
   "distribution": [
     {
       "@type": "cr:FileSet",
       "@id": "sim_subset",
       "name": "sim_subset",
-      "description": "50 simulation cases. Each case is a folder containing rendered video frames, instance segmentation, depth, mask, velocity, and physics annotations.",
+      "description": "Simulation cases. Each case is a folder containing rendered video frames, instance segmentation, depth, mask, velocity, and physics annotations.",
       "encodingFormat": "application/octet-stream",
       "includes": "sim_subset/**"
     },
@@ -71,7 +113,7 @@
       "@type": "cr:FileSet",
       "@id": "realworld_subset",
       "name": "realworld_subset",
-      "description": "50 realworld cases. Each case is a folder containing a video clip, instance segmentation, mask, velocity reference, and physics annotations.",
+      "description": "Realworld cases. Each case is a folder containing a video clip, instance segmentation, mask, velocity reference, and physics annotations.",
       "encodingFormat": "application/octet-stream",
       "includes": "realworld_subset/**"
     }