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Specify NVIDIA Isaac Sim as the simulator (replacing generic engine wording)

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Files changed (2) hide show
  1. README.md +1 -1
  2. croissant.json +5 -5
README.md CHANGED
@@ -19,7 +19,7 @@ apple-pi/
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  ## Per-case contents
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- **Simulation** (`sim_subset/<task>/<case_id>/`):
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  - `annotation.txt`, `physics_duration.txt`, `formula_info.json`
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  - `initial_state/` (rgb_0000 + white-bg variants + instance segmentation + camera params)
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  - `instantaneous_velocity/` (target-time velocity reference)
 
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  ## Per-case contents
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+ **Simulation** (`sim_subset/<task>/<case_id>/`) — generated with **NVIDIA Isaac Sim** (rigid-body PhysX simulator):
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  - `annotation.txt`, `physics_duration.txt`, `formula_info.json`
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  - `initial_state/` (rgb_0000 + white-bg variants + instance segmentation + camera params)
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  - `instantaneous_velocity/` (target-time velocity reference)
croissant.json CHANGED
@@ -50,7 +50,7 @@
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  "creator": {"@type": "Organization", "name": "Anonymous"},
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  "keywords": ["physics reasoning", "video generation", "image generation", "benchmark", "evaluation"],
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- "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.",
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  "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.",
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  "rai:personalSensitiveInformation": "None. Synthetic cases contain no people; realworld videos do not show identifiable individuals.",
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  "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.",
@@ -62,7 +62,7 @@
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  {
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  "@type": "prov:Entity",
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  "prov:label": "Original recordings (no upstream source dataset)",
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- "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."
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  }
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  ],
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@@ -72,9 +72,9 @@
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  "prov:type": "DataCollection",
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  "prov:label": "Synthetic data generation",
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  "prov:atTime": "2025/2026",
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- "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.",
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  "prov:wasAttributedTo": [
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- {"@type": "prov:SoftwareAgent", "prov:label": "3D rigid-body physics engine"}
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  ]
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  },
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  {
@@ -92,7 +92,7 @@
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  "prov:type": {"@id": "Annotation"},
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  "prov:label": "Annotation",
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  "prov:atTime": "2025/2026",
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- "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.",
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  "prov:wasAttributedTo": [
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  {"@type": "prov:Person", "prov:label": "Anonymous annotation team"},
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  {"@type": "prov:SoftwareAgent", "prov:label": "Programmatic annotation pipeline"}
 
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  "creator": {"@type": "Organization", "name": "Anonymous"},
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  "keywords": ["physics reasoning", "video generation", "image generation", "benchmark", "evaluation"],
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+ "rai:dataLimitations": "This subset is intended for evaluation only, not training. Synthetic cases are generated with NVIDIA Isaac Sim (rigid-body dynamics) 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.",
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  "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.",
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  "rai:personalSensitiveInformation": "None. Synthetic cases contain no people; realworld videos do not show identifiable individuals.",
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  "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.",
 
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  {
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  "@type": "prov:Entity",
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  "prov:label": "Original recordings (no upstream source dataset)",
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+ "sc:description": "This dataset is not derived from any external public dataset. Synthetic cases are originally generated using NVIDIA Isaac Sim (a 3D rigid-body physics simulator). Realworld cases are originally recorded video clips collected under controlled laboratory conditions."
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  }
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  ],
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  "prov:type": "DataCollection",
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  "prov:label": "Synthetic data generation",
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  "prov:atTime": "2025/2026",
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+ "sc:description": "Simulation cases generated with NVIDIA Isaac Sim (rigid-body 3D physics simulator built on PhysX). 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.",
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  "prov:wasAttributedTo": [
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+ {"@type": "prov:SoftwareAgent", "prov:label": "NVIDIA Isaac Sim"}
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  ]
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  },
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  {
 
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  "prov:type": {"@id": "Annotation"},
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  "prov:label": "Annotation",
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  "prov:atTime": "2025/2026",
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+ "sc:description": "Synthetic cases: annotations are 100% programmatic (computed directly from Isaac Sim physics 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.",
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  "prov:wasAttributedTo": [
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  {"@type": "prov:Person", "prov:label": "Anonymous annotation team"},
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  {"@type": "prov:SoftwareAgent", "prov:label": "Programmatic annotation pipeline"}