{
 "id": "armanc/scientific_papers",
 "owner": "armanc",
 "name": "scientific_papers",
 "downloads": 2645,
 "likes": 186,
 "last_modified": "2024-01-18T11:15:30.000Z",
 "stated_licence": "unknown",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "summarization"
 ],
 "citation": "@article{Cohan_2018,\n   title={A Discourse-Aware Attention Model for Abstractive Summarization of\n            Long Documents},\n   url={http://dx.doi.org/10.18653/v1/n18-2097},\n   DOI={10.18653/v1/n18-2097},\n   journal={Proceedings of the 2018 Conference of the North American Chapter of\n          the Association for Computational Linguistics: Human Language\n          Technologies, Volume 2 (Short Papers)},\n   publisher={Association for Computational Linguistics},\n   author={Cohan, Arman and Dernoncourt, Franck and Kim, Doo Soon and Bui, Trung and Kim, Seokhwan and Chang, Walter and Goharian, Nazli},\n   year={2018}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "ebf46851f7c2d994773a7076a472deeeb434361c",
 "stated_evidence": "https://huggingface.co/datasets/armanc/scientific_papers/blob/ebf46851f7c2d994773a7076a472deeeb434361c/README.md",
 "file_evidence": "https://huggingface.co/datasets/armanc/scientific_papers/tree/ebf46851f7c2d994773a7076a472deeeb434361c",
 "card_nc": false
}