{
 "id": "mahiyama/mrtydi",
 "owner": "mahiyama",
 "name": "mrtydi",
 "downloads": 285,
 "likes": 0,
 "last_modified": "2026-05-21T11:11:13.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [
  {
   "id": "sbintuitions/JMTEB",
   "licence": "cc-by-sa-4.0",
   "found": true,
   "evidence": "https://huggingface.co/datasets/sbintuitions/JMTEB/blob/6064d6d00e3eccca0f9673621022b409f79d1a18/README.md"
  }
 ],
 "gated": false,
 "tasks": [
  "sentence-similarity",
  "text-retrieval"
 ],
 "citation": "@misc{sbintuitions_jmteb,\n  author = {SB Intuitions},\n  title  = {JMTEB: Japanese Massive Text Embedding Benchmark},\n  year   = {2024},\n  url    = {https://huggingface.co/datasets/sbintuitions/JMTEB},\n}\n\n@inproceedings{mrtydi,\n  title  = {Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval},\n  author = {Zhang, Xinyu and Ma, Xueguang and Shi, Peng and Lin, Jimmy},\n  booktitle = {Proceedings of the 1st Workshop on Multilingual Representation Learning (MRL)},\n  year = {2021},\n  url = {https://aclanthology.org/2021.mrl-1.12/},\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "94481c3c6b23b71bf1a9a96e61ff80a0c425f0dd",
 "stated_evidence": "https://huggingface.co/datasets/mahiyama/mrtydi/blob/94481c3c6b23b71bf1a9a96e61ff80a0c425f0dd/README.md",
 "file_evidence": "https://huggingface.co/datasets/mahiyama/mrtydi/tree/94481c3c6b23b71bf1a9a96e61ff80a0c425f0dd",
 "card_nc": false
}