Add robotics task category, project links and citation
Browse filesHi! I'm Niels from the community science team at Hugging Face. This PR improves the dataset card for the Dynamic Object Manipulation (DOM) dataset by:
- Adding the `robotics` task category to the YAML metadata.
- Including links to the project page, the original paper, and the official GitHub repository.
- Adding the BibTeX citation from the GitHub README.
- Providing a brief summary of the dataset's size and composition for better context.
README.md
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license: other
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license_name: slab-license
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license_link: LICENSE
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-
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- robotics
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- visual-language-action
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- vla
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size_categories:
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- 100K<n<1M
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---
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# Dynamic Object Manipulation
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**TL;DR:** DOM is a large-scale dynamic manipulation dataset with 200K episodes, 2,800+ scenes, and 206 objects for training and evaluating VLA models.
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-
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- [2026/01/31] Repo is created. Please stay tuned!
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license: other
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license_name: slab-license
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license_link: LICENSE
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size_categories:
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- 100K<n<1M
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task_categories:
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- robotics
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tags:
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- visual-language-action
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- vla
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---
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# Dynamic Object Manipulation (DOM)
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[**Project Page**](https://haozhexie.com/project/dynamic-vla) | [**Paper**](https://huggingface.co/papers/2601.22153) | [**Code**](https://github.com/hzxie/DynamicVLA)
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**TL;DR:** DOM is a large-scale dynamic manipulation dataset with 200K episodes, 2,800+ scenes, and 206 objects for training and evaluating VLA models.
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## Introduction
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The Dynamic Object Manipulation (DOM) benchmark is designed to address the challenges of rapid perception and temporal anticipation in robotics. It includes:
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- **200K synthetic episodes** across 2,800+ scenes and 206 objects.
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- **2K real-world episodes** collected without teleoperation.
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- Support for evaluating VLA models in dynamic scenarios requiring continuous control and closed-loop adaptation.
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## Citation
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If you find this dataset or the DynamicVLA framework useful for your research, please cite:
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```bibtex
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@article{xie2026dynamicvla,
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title = {DynamicVLA: A Vision-Language-Action Model for
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Dynamic Object Manipulation},
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author = {Xie, Haozhe and
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Wen, Beichen and
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Zheng, Jiarui and
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Chen, Zhaoxi and
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Hong, Fangzhou icon,
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Diao, Haiwen and
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Liu, Ziwei},
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journal = {arXiv},
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volume = {2601.22153},
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year = {2026}
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}
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```
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## Changelog
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- [2026/01/31] Repo is created. Please stay tuned!
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