mcobzarencoapache-2.0
Community Curated v0
A filtered, quality-annotated union of 981 crowd-sourced robot manipulation datasets containing 52,507 episodes and 24.8M frames (~229 hours) of real-world teleoperation on 6-DoF hobby-class arms, all annotated with vision-language judge verdicts, task instructions, subgoals, and per-frame progress labels.
Downloads39
Episodes52,507
Hours229
Why This Matters for Physical AI
This large-scale, heterogeneous dataset with dense vision-language annotations provides a valuable resource for training and evaluating imitation learning models on diverse real-world manipulation tasks across multiple robot platforms and conditions.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- SO-100SO-101
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulationgraspingpick_and_place
- Episodes
- 52,507
- Total Hours
- 229
- Data Format
- LeRobot
- Annotation Types
- language_instructionsreward_labelsaction_labelssegmentationbounding_boxes
- License
- apache-2.0
Access
Need custom rgb data?
Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.
Request a Sample Pack