Update dataset card: Correct license, add GitHub link, update paper link, and enhance description
Browse filesThis PR significantly improves the `allenai/MolmoAct-Dataset` dataset card by:
* **Correcting the License**: The license has been updated from `CC BY-4.0` to `Apache 2.0`, aligning with the official MolmoAct GitHub repository and project guidelines.
* **Updating Paper Link**: The paper link has been updated to point to the official Hugging Face Papers page ([MolmoAct: Action Reasoning Models that can Reason in Space](https://huggingface.co/papers/2508.07917)), improving discoverability and integration within the Hugging Face Hub.
* **Adding GitHub Repository Link**: A direct link to the main project GitHub repository ([https://github.com/allenai/MolmoAct](https://github.com/allenai/MolmoAct)) has been added for easy access to the associated code and resources.
* **Enhancing Description**: The dataset description has been expanded with more details from the paper's abstract, providing a clearer overview of the MolmoAct Dataset.
* **Adding Citation**: A BibTeX citation for the paper has been included to facilitate proper attribution for users of the dataset.
* **Adding Relevant Tags**: `robot-learning`, `imitation-learning`, and `robot-trajectories` tags have been added to improve dataset categorization and searchability.
These changes provide a more accurate, informative, and complete resource for the community.
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license:
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task_categories:
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- robotics
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---
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This dataset was
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- π [All Models](https://huggingface.co/collections/allenai/molmoact-689697591a3936fba38174d7)
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- π [All Data](https://huggingface.co/collections/allenai/molmoact-data-mixture-6897e583e13b6c2cf3ea2b80)
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- π₯ [Video](https://youtu.be/-_wag1X25OE?si=Xi_kUaJTmcQBx1f6)
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## License and Use
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This dataset is licensed under
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---
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license: apache-2.0
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task_categories:
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- robotics
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tags:
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- robot-learning
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- imitation-learning
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- robot-trajectories
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---
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# MolmoAct Dataset
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This repository contains the **MolmoAct Dataset**, a mid-training robot dataset comprising over 10,000 high-quality robot trajectories across diverse scenarios and tasks. This dataset was released as part of the paper [MolmoAct: Action Reasoning Models that can Reason in Space](https://huggingface.co/papers/2508.07917).
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It serves as a crucial component for Action Reasoning Models (ARMs), enabling explainable and steerable robotic behavior. Training with this dataset yields significant improvements in general performance over base models.
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All contents in this dataset were collected in-house by Ai2 and are provided in [LeRobot](https://github.com/huggingface/lerobot) format.
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## Quick Links:
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- π [Paper](https://huggingface.co/papers/2508.07917)
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- π» [GitHub Repository](https://github.com/allenai/MolmoAct)
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- π [All Models](https://huggingface.co/collections/allenai/molmoact-689697591a3936fba38174d7)
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- π [All Data](https://huggingface.co/collections/allenai/molmoact-data-mixture-6897e583e13b6c2cf3ea2b80)
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- π¬ [Blog Post](https://allenai.org/blog/molmoact)
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- π¬ [Video](https://youtu.be/-_wag1X25OE?si=Xi_kUaJTmcQBx1f6)
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## License and Use
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This dataset is licensed under [Apache 2.0](https://github.com/allenai/MolmoAct/blob/release/LICENSE). It is intended for research and educational use in accordance with [Ai2's Responsible Use Guidelines](https://allenai.org/responsible-use).
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## Citation
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If you find this dataset useful for your research and applications, please cite the original paper:
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```bibtex
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@misc{molmoact2025,
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title={MolmoAct: Action Reasoning Models that can Reason in Space},
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author={Jason Lee and Jiafei Duan and Haoquan Fang and Yuquan Deng and Shuo Liu and Boyang Li and Bohan Fang and Jieyu Zhang and Yi Ru Wang and Sangho Lee and Winson Han and Wilbert Pumacay and Angelica Wu and Rose Hendrix and Karen Farley and Eli VanderBilt and Ali Farhadi and Dieter Fox and Ranjay Krishna},
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year={2025},
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eprint={2508.07917},
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archivePrefix={arXiv},
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primaryClass={cs.RO},
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url={https://arxiv.org/abs/2508.07917}
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}
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```
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