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YAM Pour V5 Direct-Format Conversion
A direct-format duplicate of the YAM Pour V5 dataset prepared as an intermediate validation dataset for bimanual pouring tasks, with standardized video encoding and joint action representations.
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Why This Matters for Physical AI
This dataset contributes bimanual manipulation demonstrations with synchronized joint state and RGB video data that can train embodied AI systems to perform complex coordinated pouring tasks.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- YAM
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- pouringmanipulation
- Data Format
- LeRobot
- License
- mit
Access
This dataset requires access approval from the author on HuggingFace.
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