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mteb/RUParaPhraserSTS

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The declared licence (mit) is classified as permissive.

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mit, from the tagEvidence: README.md at 27869de
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1
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Citation text from the card

@inproceedings{gudkov-etal-2020-automatically,
  address = {Online},
  author = {Gudkov, Vadim  and
Mitrofanova, Olga  and
Filippskikh, Elizaveta},
  booktitle = {Proceedings of the Fourth Workshop on Neural Generation and Translation},
  doi = {10.18653/v1/2020.ngt-1.6},
  month = jul,
  pages = {54--59},
  publisher = {Association for Computational Linguistics},
  title = {Automatically Ranked {R}ussian Paraphrase Corpus for Text Generation},
  url = {https://aclanthology.org/2020.ngt-1.6},
  year = {2020},
}

@inproceedings{pivovarova2017paraphraser,
  author = {Pivovarova, Lidia and Pronoza, Ekaterina and Yagunova, Elena and Pronoza, Anton},
  booktitle = {Conference on artificial intelligence and natural language},
  organization = {Springer},
  pages = {211--225},
  title = {ParaPhraser: Russian paraphrase corpus and shared task},
  year = {2017},
}


@article{enevoldsen2025mmtebmassivemultilingualtext,
  title={MMTEB: Massive Multilingual Text Embedding Benchmark},
  author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kir

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dataset_licence({ "id": "mteb/RUParaPhraserSTS" })
signal: "permissive"
stated_licence: "mit"
sources: 1