oxe-auge2025cc-by-4.0
language_table_train_70000_75000_augmented
An augmented subset of the Language Table dataset containing 5,000 episodes with cross-embodiment robot images and proprioceptive data for 8 different robot platforms, augmented through the OXE-AugE framework for scaling cross-embodiment policy learning.
Downloads81
Episodes5000
Why This Matters for Physical AI
This dataset enables cross-embodiment policy learning by providing augmented visual and proprioceptive data across multiple robot platforms, allowing models to generalize language-guided manipulation tasks across different robot morphologies.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- google_robotjacokinova3kuka_iiwapandasawyerur5e
- Environment
- lab
- Task Types
- manipulationlanguage-guided
- Episodes
- 5000
- Data Format
- parquet
- Annotation Types
- language_instructions
- License
- cc-by-4.0
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