mulliganMIT
real-marker-d2-c03-dagger-mining-no-cf
Part of the Mulligan dataset collection, containing 50 episodes of real robot manipulation data collected with multiple camera views for the real-marker-d2 task using dagger mining without counterfactual augmentation.
Downloads212
Episodes50
Why This Matters for Physical AI
This dataset provides real robot manipulation trajectories with multi-view observations that contribute to training and evaluating dagger-based policies for robotic task learning in the Mulligan benchmark.
Technical Profile
- Modalities
- rgb
- Environment
- lab
- Task Types
- manipulation
- Episodes
- 50
- Data Format
- parquet
- Annotation Types
- language_instructionsreward_labels
- License
- MIT
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