{
 "id": "megagonlabs/subjqa",
 "owner": "megagonlabs",
 "name": "subjqa",
 "downloads": 1155,
 "likes": 16,
 "last_modified": "2024-01-18T11:16:28.000Z",
 "stated_licence": "unknown",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [
  {
   "id": "yelp_review_full",
   "licence": "other",
   "found": true,
   "evidence": "https://huggingface.co/datasets/Yelp/yelp_review_full/blob/c1f9ee939b7d05667af864ee1cb066393154bf85/README.md"
  },
  {
   "id": "other-amazon_reviews_ucsd",
   "licence": null,
   "found": false,
   "evidence": "https://huggingface.co/datasets/other-amazon_reviews_ucsd"
  },
  {
   "id": "other-tripadvisor_reviews",
   "licence": null,
   "found": false,
   "evidence": "https://huggingface.co/datasets/other-tripadvisor_reviews"
  }
 ],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "If you are using the dataset, please cite the following in your work:\n```\n@inproceedings{bjerva20subjqa,\n    title = \"SubjQA: A Dataset for Subjectivity and Review Comprehension\",\n    author = \"Bjerva, Johannes  and\n      Bhutani, Nikita  and\n      Golahn, Behzad  and\n      Tan, Wang-Chiew  and\n      Augenstein, Isabelle\",\n    booktitle = \"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing\",\n    month = November,\n    year = \"2020\",\n    publisher = \"Association for Computational Linguistics\",\n}\n```",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "cdc3bc10a3cc03aba0be758dfe226ee82050be49",
 "stated_evidence": "https://huggingface.co/datasets/megagonlabs/subjqa/blob/cdc3bc10a3cc03aba0be758dfe226ee82050be49/README.md",
 "file_evidence": "https://huggingface.co/datasets/megagonlabs/subjqa/tree/cdc3bc10a3cc03aba0be758dfe226ee82050be49",
 "card_nc": false
}