oxe-augecc-by-4.0
language_table_train_10000_15000_augmented
An augmented subset of the Language Table dataset containing 5,000 episodes with multi-robot cross-embodiment visual and proprioceptive observations paired with natural language instructions. The dataset provides augmented images and trajectories for 8 different robot embodiments (Google Robot, Jaco, Kinova3, KUKA IIWA, Franka Panda, Sawyer, UR5e) to enable scaling of cross-embodiment policy learning.
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Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- Google RobotJacoKinova3KUKA IIWAFranka PandaSawyerUR5e
- Environment
- lab
- Task Types
- manipulation
- Data Format
- parquet
- License
- cc-by-4.0
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