oxe-auge2025cc-by-4.0

language_table_train_75000_80000_augmented

An augmented subset of the Language Table dataset containing 5,000 episodes with cross-embodiment robot augmentation across 8 different robot platforms. This dataset provides multi-robot visual and proprioceptive observations with natural language task instructions.

Downloads78
Episodes5000

Why This Matters for Physical AI

This dataset enables cross-embodiment policy learning by providing augmented visual and proprioceptive observations across multiple robot platforms for the same tasks, facilitating generalization of language-conditioned manipulation policies across diverse robot morphologies.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
google_robotjacokinova3kuka_iiwapandasawyerur5e
Action Space
joint_positions
Environment
lab
Task Types
manipulationlanguage-guided
Episodes
5000
Data Format
parquet
Annotation Types
language_instructions
License
cc-by-4.0
Part of the OXE-AugE family

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