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README.md
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# Parallel Sentences for 50+ languages
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This repository contains parallel sentences (i.e. English + same sentences in other language) for 50+ different languages in a simple tsv.gz format:
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```
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english_sentences\tsentence_in_other_language
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```
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Sentences stem from the [OPUS website](https://opus.nlpl.eu/).
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The following datasets are included:
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- [Europarl](https://opus.nlpl.eu/Europarl.php)
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- [GlobalVoices](https://opus.nlpl.eu/GlobalVoices.php)
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- [JW300](https://opus.nlpl.eu/JW300.php)
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- [MUSE](https://github.com/facebookresearch/MUSE)
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- [News-Commentary](https://opus.nlpl.eu/News-Commentary.php)
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- [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles.php)
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- [Tatoeba](https://tatoeba.org/)
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- [TED2020](https://opus.nlpl.eu/TED2020.php)
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- [WikiMatrix](https://opus.nlpl.eu/WikiMatrix.php)
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- WikiTitles - Custom dataset with parallel Wikipedia titles
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## Usage
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These sentences can be used to train multi-lingual sentence embedding models. For more details, see [SBERT.net - Multilingual-Model](https://www.sbert.net/examples/training/multilingual/README.html)
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# Parallel Sentences for 50+ languages
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This repository contains parallel sentences (i.e. English + same sentences in other language) for 50+ different languages in a simple tsv.gz format:
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+
```
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english_sentences\tsentence_in_other_language
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```
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+
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Sentences stem from the [OPUS website](https://opus.nlpl.eu/).
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+
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+
The following datasets are included:
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- [Europarl](https://opus.nlpl.eu/Europarl.php)
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+
- [GlobalVoices](https://opus.nlpl.eu/GlobalVoices.php)
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+
- [JW300](https://opus.nlpl.eu/JW300.php)
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- [MUSE](https://github.com/facebookresearch/MUSE)
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- [News-Commentary](https://opus.nlpl.eu/News-Commentary.php)
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+
- [OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles.php)
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+
- [Tatoeba](https://tatoeba.org/)
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+
- [TED2020](https://opus.nlpl.eu/TED2020.php)
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+
- [WikiMatrix](https://opus.nlpl.eu/WikiMatrix.php)
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- WikiTitles - Custom dataset with parallel Wikipedia titles
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## Usage
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These sentences can be used to train multi-lingual sentence embedding models. For more details, see [SBERT.net - Multilingual-Model](https://www.sbert.net/examples/training/multilingual/README.html)
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**This dataset can not yet be used with Hugging Face dataset library**
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