Hunterls
rewind-branching-k2-d4
A branching search dataset containing 106 searches across 14 manipulation tasks, with 6,432 nodes capturing states, images, and outcomes of action chunk proposals in simulated kitchen, study, and office environments.
Downloads0
Episodes106
Why This Matters for Physical AI
This dataset enables training of action selection and outcome prediction models by providing counterfactual branches showing what would have happened with alternative action chunks, supporting research in search-based planning and policy learning.
Technical Profile
- Modalities
- rgbproprioception
- Action Space
- action_chunks
- Environment
- simulation
- Task Types
- manipulationpick_and_placeobject_placement
- Episodes
- 106
- Data Format
- parquet
- Annotation Types
- action_labelsoutcome_labels
Access
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