CLARU
LouisnguyenMIT

SFT-Robo2 Expert Data: beat_block_hammer

Expert demonstration dataset for the beat_block_hammer task from RoboTwin 2.0, collected for SFT training of OpenVLA-OFT following the SimpleVLA-RL paper.

Downloads0
Episodes1000

Why This Matters for Physical AI

This dataset provides high-quality expert demonstrations with multi-view RGB observations and language annotations for training vision-language action models on complex bimanual manipulation tasks.

Technical Profile

Modalities
rgbproprioceptionlanguage
Robot Embodiments
ALOHA
Action Space
joint_positions
Environment
simulation
Task Types
manipulation
Episodes
1000
Data Format
HDF5, RLDS
Annotation Types
language_instructions
License
MIT
Part of the RoboTwin 2.0 family

Access

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