{
 "id": "ZhongshengWang/Alpaca-pubmed-summarization",
 "owner": "ZhongshengWang",
 "name": "Alpaca-pubmed-summarization",
 "downloads": 41,
 "likes": 4,
 "last_modified": "2023-09-19T05:47:25.000Z",
 "stated_licence": "openrail",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "summarization",
  "text-generation"
 ],
 "citation": "@inproceedings{cohan-etal-2018-discourse,\n  title = \"A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents\",\n  author = \"Cohan, Arman  and\n    Dernoncourt, Franck  and\n    Kim, Doo Soon  and\n    Bui, Trung  and\n    Kim, Seokhwan  and\n    Chang, Walter  and\n    Goharian, Nazli\",\n  booktitle = \"Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)\",\n  month = jun,\n  year = \"2018\",\n  address = \"New Orleans, Louisiana\",\n  publisher = \"Association for Computational Linguistics\",\n  url = \"https://aclanthology.org/N18-2097\",\n  doi = \"10.18653/v1/N18-2097\",\n  pages = \"615--621\",\n  abstract = \"Neural abstractive summarization models have led to promising results in summarizing relatively short documents. We propose the first model for abstractive summarization of single, longer-form documents (e.g., research papers). Our approach consists of a new hierarchical encoder that models the discourse structure of a document, and an attentive discourse-aware decoder to generate the summary. Empirical results on two large-scale datasets of scientific papers show that our model significantly outperforms state-of-the-art models.\",\n}",
 "signal": "restrictive",
 "reason": "The declared licence (openrail) is classified as having use restrictions.",
 "revision": "f14dfe34c9771abd6118e9ff4becfa77e110cd80",
 "stated_evidence": "https://huggingface.co/datasets/ZhongshengWang/Alpaca-pubmed-summarization/blob/f14dfe34c9771abd6118e9ff4becfa77e110cd80/README.md",
 "file_evidence": "https://huggingface.co/datasets/ZhongshengWang/Alpaca-pubmed-summarization/tree/f14dfe34c9771abd6118e9ff4becfa77e110cd80",
 "card_nc": false
}