t1ancc-by-4.0
ACWM-Phys
A benchmark dataset for evaluating action-conditioned video world models under diverse physical dynamics, spanning 8 environments across 4 physics regimes (rigid-body, deformable, particle, kinematics) with controlled in-distribution and out-of-distribution test splits.
Downloads2K
Episodes8000
Why This Matters for Physical AI
Provides a systematic benchmark for evaluating how well video world models generalize across diverse physical dynamics regimes and out-of-distribution scenarios, crucial for developing robust physical prediction models.
Technical Profile
- Modalities
- rgbvideo
- Robot Embodiments
- robot_armreacher
- Action Space
- action_conditioned
- Environment
- simulation
- Task Types
- manipulationpushingstackingpouringcloth_manipulation
- Episodes
- 8000
- Data Format
- mp4
- Annotation Types
- action_labels
- License
- cc-by-4.0
Community Signals
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