oxe-auge2025cc-by-4.0

language_table_train_435000_442226_augmented

An augmented robotics dataset containing 7,226 episodes of language-conditioned manipulation tasks across 8 different robot embodiments, generated through cross-embodiment augmentation of the Language Table dataset.

Downloads63
Episodes7226

Why This Matters for Physical AI

This dataset enables training of cross-embodiment robotic policies by providing augmented demonstrations across multiple robot platforms with shared language instructions, advancing the generalization of learned behaviors to different robot morphologies.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
Google RobotJacoKinova3KUKA IIWAFranka PandaSawyerUR5e
Action Space
joint_positions
Environment
lab
Task Types
manipulationlanguage-conditioned manipulation
Episodes
7226
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-AugE family

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