{
 "id": "DravenALG/GraspNet-1Billion",
 "owner": "DravenALG",
 "name": "GraspNet-1Billion",
 "downloads": 4747,
 "likes": 3,
 "last_modified": "2025-12-08T06:02:48.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "robotics"
 ],
 "citation": "If you use this dataset in your research, please explicitly cite the official papers as requested by the authors:\n\n```bibtex\n@article{fang2023robust,\n  title={Robust grasping across diverse sensor qualities: The GraspNet-1Billion dataset},\n  author={Fang, Hao-Shu and Gou, Minghao and Wang, Chenxi and Lu, Cewu},\n  journal={The International Journal of Robotics Research},\n  year={2023},\n  publisher={SAGE Publications Sage UK: London, England}\n}\n\n@inproceedings{fang2020graspnet,\n  title={GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping},\n  author={Fang, Hao-Shu and Wang, Chenxi and Gou, Minghao and Lu, Cewu},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},\n  pages={11444--11453},\n  year={2020}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "1f9db26044cd2a7e629bbb465be3665364cbf2bf",
 "stated_evidence": "https://huggingface.co/datasets/DravenALG/GraspNet-1Billion/blob/1f9db26044cd2a7e629bbb465be3665364cbf2bf/README.md",
 "file_evidence": "https://huggingface.co/datasets/DravenALG/GraspNet-1Billion/tree/1f9db26044cd2a7e629bbb465be3665364cbf2bf",
 "card_nc": false
}