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
Part of the language_table_train_10000_15000_augmented family

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