{
 "id": "ebrigham/DBRD",
 "owner": "ebrigham",
 "name": "DBRD",
 "downloads": 10,
 "likes": 0,
 "last_modified": "2023-12-04T08:31:13.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "Please use the following citation when making use of this dataset in your work:\n\n```citation\n@article{DBLP:journals/corr/abs-1910-00896,\n  author    = {Benjamin van der Burgh and\n               Suzan Verberne},\n  title     = {The merits of Universal Language Model Fine-tuning for Small Datasets\n               - a case with Dutch book reviews},\n  journal   = {CoRR},\n  volume    = {abs/1910.00896},\n  year      = {2019},\n  url       = {http://arxiv.org/abs/1910.00896},\n  archivePrefix = {arXiv},\n  eprint    = {1910.00896},\n  timestamp = {Fri, 04 Oct 2019 12:28:06 +0200},\n  biburl    = {https://dblp.org/rec/journals/corr/abs-1910-00896.bib},\n  bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "40a9a20245304307a4100400bedac59b70cf7c6b",
 "stated_evidence": "https://huggingface.co/datasets/ebrigham/DBRD/blob/40a9a20245304307a4100400bedac59b70cf7c6b/README.md",
 "file_evidence": "https://huggingface.co/datasets/ebrigham/DBRD/tree/40a9a20245304307a4100400bedac59b70cf7c6b",
 "card_nc": false
}