Datasets:
Tasks:
Sentence Similarity
Formats:
csv
Languages:
German
Size:
10M - 100M
ArXiv:
Tags:
sentence-transformers
License:
File size: 1,458 Bytes
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---
license:
- mit
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.
## Parallel text corpora used
- [TED2020 v1](https://opus.nlpl.eu/TED2020-v1.php)
- [News-Commentary v16](https://opus.nlpl.eu/News-Commentary-v16.php)
- [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles-v2018.php)
- [Tatoeba v2022-03-03](https://opus.nlpl.eu/Tatoeba-v2022-03-03.php)
- [WikiMatrix v1](https://opus.nlpl.eu/WikiMatrix-v1.php)
## To-do
- add info how machine translation was done
- add info about exact size (size per corpus)
- add copyright info and citations of individual datasets
- add column description
- upload dataset
## Licensing
Copyright (c) 2022 Philip May, Deutsche Telekom AG
Licensed under the **MIT License** (the "License"); you may not use this file except in compliance with the License.
You may obtain a copy of the License by reviewing the file
[LICENSE](https://huggingface.co/datasets/deutsche-telekom/ger-backtrans-paraphrase/blob/main/LICENSE) in the repository.
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