oxe-auge2025cc-by-4.0

language_table_train_270000_275000_augmented

An augmented subset of the Language Table dataset containing 5,000 episodes with robot-agnostic image augmentations and cross-embodiment kinematic mappings for 8 different robot platforms. This dataset enables training language-conditioned policies across diverse robot morphologies.

Downloads68
Episodes5000

Why This Matters for Physical AI

This dataset demonstrates cross-embodiment policy learning by augmenting a single-robot language-conditioned manipulation dataset with multiple robot morphologies, enabling more generalizable robotic control models that can transfer across different physical platforms.

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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