{
 "id": "MedOtter/amos22-mri-dataset",
 "owner": "MedOtter",
 "name": "amos22-mri-dataset",
 "downloads": 924,
 "likes": 0,
 "last_modified": "2025-10-29T20:54:17.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "@article{ji2022amos,\n  title={AMOS: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation},\n  author={Ji, Yuanfeng and Bai, Haotian and Yang, Jie and Ge, Chongjian and Zhu, Ye and Zhang, Ruimao and Li, Zhen and Zhang, Lingyan and Ma, Wanling and Wan, Xiang and others},\n  journal={arXiv preprint arXiv:2206.08023},\n  year={2022}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "87b569ccd36feda3b9d83aeae4b655e39fff2c69",
 "stated_evidence": "https://huggingface.co/datasets/MedOtter/amos22-mri-dataset/blob/87b569ccd36feda3b9d83aeae4b655e39fff2c69/README.md",
 "file_evidence": "https://huggingface.co/datasets/MedOtter/amos22-mri-dataset/tree/87b569ccd36feda3b9d83aeae4b655e39fff2c69",
 "card_nc": false
}