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README.md
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license: cc-by-nc-sa-4.0
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license: cc-by-nc-sa-4.0
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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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In the original [paper](https://aclanthology.org/2022.lrec-1.284.pdf), we've extracted 9.17M sentence pairs in 31 language pairs from 86 repositories.
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This version has been created through further processing and filtering to extract parallel **documents** instead of parallel **sentences**.
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To do this, we kept only the parallel titles and abstracts of academic records with high (mean) alignment scores by also using other filters (e.g., word ratio, non-empty abstracts, etc.).
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<br/>
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Table 1: Number of parallel documents per language pair
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| Lang. Pair | # Parallel Docs |
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|------------|-----------------|
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| EN-DE | 57,387 |
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| EN-EL | 55,833 |
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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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Please note that this dataset will keep getting updated to include more language pairs, per the original paper.
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# Related Datasets
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The original datasets can be found in ELRC-SHARE:
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- [Original SciPar in Moses format](https://elrc-share.eu/repository/browse/scipar-a-collection-of-parallel-corpora-from-scientific-abstracts-v-2021-in-moses-format/e78f32fe739611ec9c1a00155d026706a5d3e42019af467193538b102cf080f8/)
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- [Original SciPar in TMX format](https://elrc-share.eu/repository/browse/scipar-a-collection-of-parallel-corpora-from-scientific-abstracts-v-2021-in-tmx-format/aaf503c0739411ec9c1a00155d02670665aacff53a8543938cd99da54fdd66af/)
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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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@inproceedings{roussis2022scipar,
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title={SciPar: A collection of parallel corpora from scientific abstracts},
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author={Roussis, Dimitrios and Papavassiliou, Vassilis and Prokopidis, Prokopis and Piperidis, Stelios and Katsouros, Vassilis},
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booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},
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pages={2652--2657},
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year={2022}
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}
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