MINT-SJTU2026MIT
LA-33K
A language-action pretraining dataset for robot manipulation containing 33,116 atomic manipulation episodes derived from DROID and annotated with fine-grained language instructions. Designed to expose language-action supervision for training vision-language-action models.
Downloads3K
Episodes33116
Hours28.2406
Likes2
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- Franka Panda
- Action Space
- 8-DoF
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 33116
- Total Hours
- 28.2406
- Data Format
- LeRobot
- License
- MIT
Community Signals
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