CLARU
chocopanMIT

chocopan-libero-combined-20hz-rlds-v1

A 19,533-episode LIBERO manipulation dataset in RLDS/TFDS format combining unperturbed LIBERO demonstrations with LIBERO-plus perturbed renderings, covering 111 distinct language instructions for robotic manipulation tasks.

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Episodes19533

Why This Matters for Physical AI

This dataset enables training of vision-language-action models for robotic manipulation by combining diverse demonstration sources with language instructions, supporting research in imitation learning and embodied AI at scale.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
Franka Panda
Action Space
end_effector_delta
Environment
simulation
Task Types
manipulation
Episodes
19533
Data Format
RLDS
Annotation Types
language_instructions
License
MIT
Part of the LIBERO family

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