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nielsr HF Staff commited on
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Update dataset card with paper, project, and code links

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Hi, I'm Niels from the community science team at Hugging Face.

This PR improves the dataset card by:
- Adding the `robotics` task category to the metadata.
- Including links to the official project page and GitHub repository.
- Adding the BibTeX citation from the paper.
- Improving the overall structure of the Markdown content.

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  1. README.md +23 -3
README.md CHANGED
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  ---
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  license: bsd-2-clause
 
 
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  ---
 
 
 
 
 
 
 
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  ## MuJoCo environments
 
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  ### UR5e
 
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  #### MujocoUR5eCableEnv
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  Task to pass the cable between two poles.
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/677b624be4cf361eed593b69/d6uJIbYc0Y5j3yAicUhF3.mp4"></video>
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-
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  The same data can be downloaded [here](https://github.com/isri-aist/RoboManipBaselines/blob/master/doc/dataset_list.md).
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- ## RoboManipBaselines Paper
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- https://huggingface.co/papers/2509.17057
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: bsd-2-clause
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+ task_categories:
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+ - robotics
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  ---
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+
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+ # RoboManipBaselines
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+
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+ [**Project Page**](https://isri-aist.github.io/RoboManipBaselines-ProjectPage/) | [**Paper**](https://huggingface.co/papers/2509.17057) | [**GitHub**](https://github.com/isri-aist/RoboManipBaselines)
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+ RoboManipBaselines is an open-source software framework for imitation learning research in robotic manipulation. This repository contains expert demonstration datasets associated with the framework.
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+
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  ## MuJoCo environments
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+
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  ### UR5e
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+
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  #### MujocoUR5eCableEnv
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  Task to pass the cable between two poles.
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/677b624be4cf361eed593b69/d6uJIbYc0Y5j3yAicUhF3.mp4"></video>
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  The same data can be downloaded [here](https://github.com/isri-aist/RoboManipBaselines/blob/master/doc/dataset_list.md).
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+ ## Citation
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+
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+ If you use RoboManipBaselines in your work, please cite the following paper:
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+
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+ ```bibtex
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+ @article{RoboManipBaselines_Murooka_2025,
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+ title={RoboManipBaselines: A Unified Framework for Imitation Learning in Robotic Manipulation across Real and Simulation Environments},
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+ author={Murooka, Masaki and Motoda, Tomohiro and Nakajo, Ryoichi and Oh, Hanbit and Makihara, Koshi and Shirai, Keisuke and Ogata, Tetsuya and Domae, Yukiyasu},
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+ journal={arXiv preprint arXiv:2509.17057},
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+ year={2025}
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+ }
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+ ```