chocopanMIT
chocopan-t3-reverse-oracle-rlds-tipped-v5a
Synthetic scripted-oracle demonstrations of reverse manipulation tasks in simulation where objects are removed from containers and returned to the table, with realistic tipped object initializations. Dataset is provided in RLDS/TFDS format compatible with OpenVLA-OFT and LIBERO benchmarks.
Downloads13
Episodes3,477
Why This Matters for Physical AI
This dataset provides realistic object pose variation (upright and tipped) in container manipulation tasks, enabling training of manipulation policies that generalize to natural initial state distributions encountered in physical settings.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- Franka Panda
- Action Space
- end_effector_delta
- Environment
- simulation
- Task Types
- manipulationpick_and_placegrasping
- Episodes
- 3,477
- Data Format
- RLDS
- Annotation Types
- language_instructionsreward_labels
- License
- MIT
Access
Need custom rgb data?
Claru builds purpose-built datasets for simulation applications with dense human annotations and quality assurance.
Request a Sample Pack