{
 "id": "deutsche-telekom/ger-backtrans-paraphrase",
 "owner": "deutsche-telekom",
 "name": "ger-backtrans-paraphrase",
 "downloads": 199,
 "likes": 12,
 "last_modified": "2024-05-14T13:32:46.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "sentence-similarity"
 ],
 "citation": "**OpenSubtitles**\n- citation: P. Lison and J. Tiedemann, 2016, [OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles](http://www.lrec-conf.org/proceedings/lrec2016/pdf/947_Paper.pdf). In Proceedings of the 10th International Conference on Language Resources and Evaluation (LREC 2016)\n- also see http://www.opensubtitles.org/\n- license: no special license has been provided at OPUS for this dataset\n\n**WikiMatrix v1**\n- citation: Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, [WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia](https://arxiv.org/abs/1907.05791), arXiv, July 11 2019\n- license: [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)\n\n**Tatoeba v2022-03-03**\n- citation: J. Tiedemann, 2012, [Parallel Data, Tools and Interfaces in OPUS](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php). In Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)\n- license: [CC BY 2.0 FR](https://creativecommons.org/licenses/by/2.0/fr/)\n- copyright: https://tatoeba.org/eng/terms_of_use\n\n**TED2020 v1**\n- citation: Reimers, Nils and Gurevych, Iryna, [Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation](https://arxiv.org/abs/2004.09813), In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, November 2020\n- acknowledgements to [OPUS](https://opus.nlpl.eu/) for this service\n- license: please respect",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "984c0e5848457641df00231173df71ff5e9964ae",
 "stated_evidence": "https://huggingface.co/datasets/deutsche-telekom/ger-backtrans-paraphrase/blob/984c0e5848457641df00231173df71ff5e9964ae/README.md",
 "file_evidence": "https://huggingface.co/datasets/deutsche-telekom/ger-backtrans-paraphrase/tree/984c0e5848457641df00231173df71ff5e9964ae",
 "card_nc": false
}