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README.md
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# SciPar Parallel Documents
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# Dataset Description
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This dataset contains parallel documents (i.e., titles & abstracts) extracted from academic theses, dissertations, and other scientific texts.
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| EN-ES | 25,844 |
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| EN-FR | 130,750 |
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| EN-IT | 3,860 |
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| TOTAL | 273,674 |
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<br/>
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- [SciPar UK-EN-RU in TMX format](https://elrc-share.eu/repository/browse/scipar-uk-en-ru/f635552ab06011ec9c1a00155d0267061ce92362f8af4c0b9d4f64d017c2df3f/)
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# Citation
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```
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@inproceedings{roussis2022scipar,
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title={SciPar: A collection of parallel corpora from scientific abstracts},
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---
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# SciPar Parallel Documents
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<br/>
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# Dataset Description
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This dataset contains parallel documents (i.e., titles & abstracts) extracted from academic theses, dissertations, and other scientific texts.
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| EN-ES | 25,844 |
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| EN-FR | 130,750 |
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| EN-IT | 3,860 |
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| **TOTAL** | **273,674** |
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<br/>
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- [SciPar UK-EN-RU in TMX format](https://elrc-share.eu/repository/browse/scipar-uk-en-ru/f635552ab06011ec9c1a00155d0267061ce92362f8af4c0b9d4f64d017c2df3f/)
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# Citation
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```
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@inproceedings{roussis2022scipar,
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title={SciPar: A collection of parallel corpora from scientific abstracts},
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