All datasets / deutsche-telekom
deutsche-telekom/ger-backtrans-paraphrase
The declared licence (cc-by-sa-4.0) is classified as share-alike.
- Declared licence
- cc-by-sa-4.0, from the tagEvidence: README.md at 984c0e5
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 984c0e5
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
**OpenSubtitles** - 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) - also see http://www.opensubtitles.org/ - license: no special license has been provided at OPUS for this dataset **WikiMatrix v1** - 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 - license: [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) **Tatoeba v2022-03-03** - 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) - license: [CC BY 2.0 FR](https://creativecommons.org/licenses/by/2.0/fr/) - copyright: https://tatoeba.org/eng/terms_of_use **TED2020 v1** - 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 - acknowledgements to [OPUS](https://opus.nlpl.eu/) for this service - license: please respect
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "deutsche-telekom/ger-backtrans-paraphrase" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0