CLARU
oxe-auge2025cc-by-4.0

language_table_train_275000_280000_augmented

An augmented subset of the Language Table dataset containing 5,000 episodes with multi-robot cross-embodiment augmentation across 8 robot platforms, providing language-annotated manipulation trajectories at 10 FPS.

Downloads65
Episodes5000

Why This Matters for Physical AI

This dataset enables cross-embodiment policy learning by providing augmented multi-robot demonstrations with natural language instructions, supporting research into generalizable robot control across diverse hardware platforms.

Technical Profile

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

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