jcoholichMIT
MANGO Demonstrations
A dataset of 150 human-teleoperated, 150 synthetic MANGO, and 150 sim demonstrations for four manipulation tasks (stack blocks, close laptop, stack cups, pick coke), including image translation training data with paired sim and real images.
Downloads594
Episodes450 total (150 per source type × 3 sources)
Why This Matters for Physical AI
This dataset demonstrates the use of synthetic data generation and domain adaptation through image translation to improve imitation learning for robotic manipulation tasks across sim-to-real transfer.
Technical Profile
- Modalities
- rgbproprioception
- Action Space
- end_effector_delta
- Environment
- simulationlab
- Task Types
- manipulationpick_and_placestacking
- Episodes
- 450 total (150 per source type × 3 sources)
- Data Format
- HDF5
- Annotation Types
- segmentation
- License
- MIT
Community Signals
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