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PolaRiS Hub
PolaRiS Hub is a lightweight collection of reconstructed real-to-sim manipulation environments used for evaluating generalist robot policies in simulation. It is designed to be used with the PolaRiS evaluation framework.
Instructions on how to use can be found at the Github PolaRiS Codebase
What’s in the Hub
Each environment in PolaRiS Hub includes:
- A reconstructed scene (mesh + Gaussian splats)
- Canonical initial conditions
- A language instruction describing the task
- Task-specific evaluation metadata (success & progress)
The full hub is currently < 2GB and can be downloaded in a single command.
Available Environments
| Environment Name | Task Description |
|---|---|
| DROID-BlockStackKitchen | Place and stack the blocks on top of the green tray |
| DROID-FoodBussing | Put all the foods in the bowl |
| DROID-PanClean | Use the yellow sponge to scrub the blue-handle frying pan |
| DROID-MoveLatteCup | Put the latte art cup on top of the cutting board |
| DROID-OrganizeTools | Put the scissor into the large container |
| DROID-TapeIntoContainer | Put the tape into the container |
Download
uvx hf download owhan/PolaRiS-Hub --repo-type=dataset --local-dir ./PolaRiS-Hub
Intended Use
- Evaluation of generalist robot policies
- Real-to-sim benchmarking
- Zero-shot task evaluation in simulation
Contributing
Please consider contributing your environments for broader use by the community, and to grow the means of generalist policy evaluation! See Github codebase on instruction for contributing.
Citation
@misc{jain2025polarisscalablerealtosimevaluations,
title={PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies},
author={Arhan Jain and Mingtong Zhang and Kanav Arora and William Chen and Marcel Torne and Muhammad Zubair Irshad and Sergey Zakharov and Yue Wang and Sergey Levine and Chelsea Finn and Wei-Chiu Ma and Dhruv Shah and Abhishek Gupta and Karl Pertsch},
year={2025},
eprint={2512.16881},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2512.16881},
}
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