oxe-auge2025cc-by-4.0
language_table_train_62000_63000_augmented
An augmented subset of the Language Table dataset containing 1,000 episodes with cross-embodiment vision and proprioception data for 8 different robot platforms, augmented to enable scaling of cross-embodiment policy learning.
Downloads70
Episodes1000
Why This Matters for Physical AI
This dataset enables training of cross-embodiment robotic policies through multi-robot augmentation, allowing learned behaviors to generalize across different robot morphologies and improving sample efficiency in physical robot learning.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- google_robotjacokinova3kuka_iiwapandasawyerur5e
- Environment
- lab
- Task Types
- manipulationlanguage_instruction
- Episodes
- 1000
- Data Format
- parquet
- Annotation Types
- language_instructions
- License
- cc-by-4.0
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