{
 "id": "irds/beir_msmarco_test",
 "owner": "irds",
 "name": "beir_msmarco_test",
 "downloads": 10,
 "likes": 0,
 "last_modified": "2023-01-05T02:47:27.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [
  {
   "id": "irds/beir_msmarco",
   "licence": null,
   "found": true,
   "evidence": "https://huggingface.co/datasets/irds/beir_msmarco/blob/7ac33c87e5a52e34ac4de6b2fbc9a6be0a332d70/README.md"
  }
 ],
 "gated": false,
 "tasks": [
  "text-retrieval"
 ],
 "citation": "@inproceedings{Craswell2019TrecDl,\n  title={Overview of the TREC 2019 deep learning track},\n  author={Nick Craswell and Bhaskar Mitra and Emine Yilmaz and Daniel Campos and Ellen Voorhees},\n  booktitle={TREC 2019},\n  year={2019}\n}\n@inproceedings{Bajaj2016Msmarco,\n  title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},\n  author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang},\n  booktitle={InCoCo@NIPS},\n  year={2016}\n}\n@article{Thakur2021Beir,\n  title = \"BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models\",\n  author = \"Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna\", \n  journal= \"arXiv preprint arXiv:2104.08663\",\n  month = \"4\",\n  year = \"2021\",\n  url = \"https://arxiv.org/abs/2104.08663\",\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "db8b6c11d729fe1de71e4ed49b8c6eb7b95202e6",
 "stated_evidence": "https://huggingface.co/datasets/irds/beir_msmarco_test/blob/db8b6c11d729fe1de71e4ed49b8c6eb7b95202e6/README.md",
 "file_evidence": "https://huggingface.co/datasets/irds/beir_msmarco_test/tree/db8b6c11d729fe1de71e4ed49b8c6eb7b95202e6",
 "card_nc": false
}