CLARU
mulliganMIT

real-marker-d2-c01-dagger-mining-no-cf

A robotics dataset from the Mulligan project containing 50 episodes of real robot manipulation data collected with multiple camera views for training robotic policies using dagger mining without counterfactual augmentation.

Downloads207
Episodes50

Why This Matters for Physical AI

This dataset provides real robot manipulation demonstrations with multi-view camera observations that support training and evaluation of robotic policies through imitation learning and behavioral cloning approaches 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
Part of the Mulligan family

Access

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