{
 "id": "PortPy-Project/PortPy_Dataset",
 "owner": "PortPy-Project",
 "name": "PortPy_Dataset",
 "downloads": 16376,
 "likes": 1,
 "last_modified": "2026-10-21T21:33:47.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "The dataset and benchmark are described in the following paper (to appear in NeurIPS 2026):\n\n```bibtex\n@inproceedings{jhanwar2026portpyai,\n  title={PortPy.AI: A Benchmark for AI and Optimization in Cancer Radiotherapy Planning},\n  author={Jhanwar, Gourav and Tefagh, Mojtaba and Huang, Qijie and Golkarieh, Alireza and Hong, Linda and Pham, Hai and Taasti, Vicki Trier and Tuomaala, Seppo and Magliari, Anthony and Folkerts, Michael and Zhou, Ying and Yang, Jie and Nadeem, Saad and Zarepisheh, Masoud},\n  booktitle={Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track},\n  year={2026}\n}\n```\n\n\nThis dataset is derived from two publicly available collections hosted on\n[The Cancer Imaging Archive (TCIA)](https://www.cancerimagingarchive.net/).\n\n**Lung \u2014 NSCLC-Radiomics** (CC BY-NC 3.0):\nAerts, H. J. W. L., Wee, L., Rios Velazquez, E., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., Hoebers, F., Rietbergen, M. M., Leemans, C. R., Dekker, A., Quackenbush, J., Gillies, R. J., Lambin, P. (2014). Data From NSCLC-Radiomics (version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.PF0M9REI\n\n**Prostate \u2014 Prostate-Anatomical-Edge-Cases** (CC BY 4.0):\nKanwar, A., et al. Prostate-Anatomical-Edge-Cases [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/QSTF-ST65\n\nThe original imaging data was processed by the authors of this repository by:\n- A",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions."
}