CLARU
oxe-auge2025cc-by-4.0

language_table_train_355000_360000_augmented

Augmented subset of the Language Table dataset containing 5,000 episodes with cross-embodiment robot imagery and proprioceptive data for 8 different robot platforms, designed for scaling language-conditioned manipulation policies.

Downloads77
Episodes5000

Why This Matters for Physical AI

This dataset enables cross-embodiment learning for language-conditioned manipulation by providing augmented visual and proprioceptive observations across multiple robot platforms, advancing multi-robot policy generalization research.

Technical Profile

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

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