Hannibal52Barca2026MIT
ICL Project — Manual Progress Annotations
Human progress annotations for ICL robot demonstrations, providing per-episode subtask milestones and dense per-frame progress labels for value-model agreement evaluation.
Downloads33
Episodes243
Why This Matters for Physical AI
This dataset provides human reference progress annotations that enable evaluation of value models' agreement with human judgment on task completion, supporting the development of better reward learning for robotic agents.
Technical Profile
- Modalities
- language
- Episodes
- 243
- Annotation Types
- language_instructionsreward_labels
- License
- MIT
Access
Need custom language data?
Claru builds purpose-built datasets for any environment applications with dense human annotations and quality assurance.
Request a Sample Pack