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--- |
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license: |
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- cc-by-sa-4.0 |
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language: |
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- de |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 10M<n<100M |
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task_categories: |
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- sentence-similarity |
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--- |
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**This dataset card is still a draft version. The dataset has not been uploaded yet.** |
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This is a record of German language paraphrases. These are text pairs that have the same meaning but are expressed in different words. |
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The source of the paraphrases are different parallel German / English text corpora. |
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The English texts were machine translated back into German. This is how the paraphrases were obtained. |
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## Columns description |
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xxx |
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## Load this dataset with Pandas |
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If you want to download the csv file and then load it with Pandas you can do it like this: |
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```python |
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df = pd.read_csv("train.csv") |
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``` |
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## Parallel text corpora used |
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| Corpus name & link | Number of paraphrases | |
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|-----------------------------------------------------------------------|----------------------:| |
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| [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles-v2018.php) | 18,764,810 | |
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| [WikiMatrix v1](https://opus.nlpl.eu/WikiMatrix-v1.php) | 1,569,231 | |
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| [Tatoeba v2022-03-03](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php) | 313,105 | |
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| [TED2020 v1](https://opus.nlpl.eu/TED2020-v1.php) | 289,374 | |
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| [News-Commentary v16](https://opus.nlpl.eu/News-Commentary-v16.php) | 285,722 | |
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| [GlobalVoices v2018q4](https://opus.nlpl.eu/GlobalVoices-v2018q4.php) | 70,547 | |
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| **sum** |. **21,292,789** | |
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## To-do |
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- add column description |
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- upload dataset |
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## Back translation |
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We have made the back translation from English to German with the help of [Fairseq](https://github.com/facebookresearch/fairseq). |
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We used the `transformer.wmt19.en-de` model for this purpose: |
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```python |
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en2de = torch.hub.load( |
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"pytorch/fairseq", |
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"transformer.wmt19.en-de", |
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checkpoint_file="model1.pt:model2.pt:model3.pt:model4.pt", |
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tokenizer="moses", |
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bpe="fastbpe", |
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) |
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``` |
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## Citations & Acknowledgements |
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**OpenSubtitles** |
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- 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) |
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- also see http://www.opensubtitles.org/ |
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- license: no special license has been provided at OPUS for this dataset |
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**WikiMatrix v1** |
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- 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 |
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- license: [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) |
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**Tatoeba v2022-03-03** |
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- 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) |
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- license: [CC BY 2.0 FR](https://creativecommons.org/licenses/by/2.0/fr/) |
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- copyright: https://tatoeba.org/eng/terms_of_use |
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**TED2020 v1** |
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- 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 |
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- acknowledgements to [OPUS](https://opus.nlpl.eu/) for this service |
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- license: please respect the [TED Talks Usage Policy](https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy) |
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**News-Commentary v16** |
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- 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) |
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- license: no special license has been provided at OPUS for this dataset |
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**GlobalVoices v2018q4** |
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- 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) |
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- license: no special license has been provided at OPUS for this dataset |
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## Licensing |
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Copyright (c) 2022 Philip May, Deutsche Telekom AG |
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This work is licensed under [CC-BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). |
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