{
 "id": "zy2024/GDP-HMM_Challenge",
 "owner": "zy2024",
 "name": "GDP-HMM_Challenge",
 "downloads": 107,
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 "last_modified": "2026-01-15T03:26:35.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
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 "citation": "If you use the dataset for your research, please cite below papers: \n\n<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->\n\n[1] Riqiang Gao, Mamadou Diallo, Han Liu, Anthony Magliari, Wilko Verbakel, Sandra Meyers, Masoud Zarepisheh, Rafe Mcbeth, Simon Arberet, Martin Kraus, Florin Ghesu, Ali Kamen. Automating RT Planning at Scale: High Quality Data For AI Training. arXiv preprint arXiv:2501.11803. 2025.\n\n[2] Riqiang Gao, Bin Lou, Zhoubing Xu, Dorin Comaniciu, and Ali Kamen. \"Flexible-cm gan: Towards precise 3d dose prediction in radiotherapy.\" In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023.",
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 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "a3e0b7b9ac43595dbe45b4df309b70e2a8b897f1",
 "stated_evidence": "https://huggingface.co/datasets/zy2024/GDP-HMM_Challenge/blob/a3e0b7b9ac43595dbe45b4df309b70e2a8b897f1/README.md",
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}