{
 "id": "mteb/JSTS",
 "owner": "mteb",
 "name": "JSTS",
 "downloads": 838,
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 "last_modified": "2025-05-04T16:26:51.000Z",
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 "licence_name": null,
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 "tasks": [
  "sentence-similarity"
 ],
 "citation": "@inproceedings{kurihara-etal-2022-jglue,\n  abstract = {To develop high-performance natural language understanding (NLU) models, it is necessary to have a benchmark to evaluate and analyze NLU ability from various perspectives. While the English NLU benchmark, GLUE, has been the forerunner, benchmarks are now being released for languages other than English, such as CLUE for Chinese and FLUE for French; but there is no such benchmark for Japanese. We build a Japanese NLU benchmark, JGLUE, from scratch without translation to measure the general NLU ability in Japanese. We hope that JGLUE will facilitate NLU research in Japanese.},\n  address = {Marseille, France},\n  author = {Kurihara, Kentaro  and\nKawahara, Daisuke  and\nShibata, Tomohide},\n  booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},\n  editor = {Calzolari, Nicoletta  and\nB{\\'e}chet, Fr{\\'e}d{\\'e}ric  and\nBlache, Philippe  and\nChoukri, Khalid  and\nCieri, Christopher  and\nDeclerck, Thierry  and\nGoggi, Sara  and\nIsahara, Hitoshi  and\nMaegaard, Bente  and\nMariani, Joseph  and\nMazo, H{\\'e}l{\\`e}ne  and\nOdijk, Jan  and\nPiperidis, Stelios},\n  month = jun,\n  pages = {2957--2966},\n  publisher = {European Language Resources Association},\n  title = {{JGLUE}: {J}apanese General Language Understanding Evaluation},\n  url = {https://aclanthology.org/2022.lrec-1.317},\n  year = {2022},\n}\n\n\n@article{enevoldsen2025mmtebmassivemultilingualtext,\n  title={MMTEB: Massive Multilingual Text Embedding Benchm",
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 "revision": "b3d3097f7faa8c66151fa22c1320aec10671804f",
 "stated_evidence": "https://huggingface.co/datasets/mteb/JSTS/blob/b3d3097f7faa8c66151fa22c1320aec10671804f/README.md",
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