NONHUMAN-RESEARCHapache-2.0
Human-reviewed RoboNet annotations
A LeRobot v2.1 dataset derived from RoboNet data with human-reviewed temporal action segmentation annotations. Each frame includes subtask index, subtask label, and provenance information.
Downloads22
Episodes1
Why This Matters for Physical AI
This dataset provides human-reviewed temporal action segmentation annotations for robotic manipulation tasks, enabling training of models that understand hierarchical task structure and action boundaries in robot learning.
Technical Profile
- Episodes
- 1
- Data Format
- LeRobot
- Annotation Types
- temporal-action-segmentationsubtask_labels
- License
- apache-2.0
Access
Need custom physical AI data?
Claru builds purpose-built datasets for any environment applications with dense human annotations and quality assurance.
Request a Sample Pack