Datasets:
Tasks:
Sentence Similarity
Formats:
csv
Languages:
German
Size:
10M - 100M
ArXiv:
Tags:
sentence-transformers
License:
| license: | |
| - cc-by-sa-4.0 | |
| language: | |
| - de | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 10M<n<100M | |
| task_categories: | |
| - sentence-similarity | |
| **This dataset card is still a draft version. The dataset has not been uploaded yet.** | |
| This is a record of German language paraphrases. These are text pairs that have the same meaning but are expressed in different words. | |
| The source of the paraphrases are different parallel German / English text corpora. | |
| The English texts were machine translated back into German. This is how the paraphrases were obtained. | |
| ## Columns description | |
| xxx | |
| ## Load this dataset with Pandas | |
| If you want to download the csv file and then load it with Pandas you can do it like this: | |
| ```python | |
| df = pd.read_csv("train.csv") | |
| ``` | |
| ## Parallel text corpora used | |
| | Corpus name & link | Number of paraphrases | | |
| |-----------------------------------------------------------------------|----------------------:| | |
| | [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles-v2018.php) | 18,764,810 | | |
| | [WikiMatrix v1](https://opus.nlpl.eu/WikiMatrix-v1.php) | 1,569,231 | | |
| | [Tatoeba v2022-03-03](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php) | 313,105 | | |
| | [TED2020 v1](https://opus.nlpl.eu/TED2020-v1.php) | 289,374 | | |
| | [News-Commentary v16](https://opus.nlpl.eu/News-Commentary-v16.php) | 285,722 | | |
| | [GlobalVoices v2018q4](https://opus.nlpl.eu/GlobalVoices-v2018q4.php) | 70,547 | | |
| | **sum** |. **21,292,789** | | |
| ## To-do | |
| - add column description | |
| - upload dataset | |
| ## Back translation | |
| We have made the back translation from English to German with the help of [Fairseq](https://github.com/facebookresearch/fairseq). | |
| We used the `transformer.wmt19.en-de` model for this purpose: | |
| ```python | |
| en2de = torch.hub.load( | |
| "pytorch/fairseq", | |
| "transformer.wmt19.en-de", | |
| checkpoint_file="model1.pt:model2.pt:model3.pt:model4.pt", | |
| tokenizer="moses", | |
| bpe="fastbpe", | |
| ) | |
| ``` | |
| ## Citations & Acknowledgements | |
| **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 [TED Talks Usage Policy](https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy) | |
| **News-Commentary v16** | |
| - 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: no special license has been provided at OPUS for this dataset | |
| **GlobalVoices v2018q4** | |
| - 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: no special license has been provided at OPUS for this dataset | |
| ## Licensing | |
| Copyright (c) 2022 Philip May, Deutsche Telekom AG | |
| This work is licensed under [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). | |