File size: 2,241 Bytes
d08f312 3698148 986c60a 3698148 986c60a 3698148 986c60a 3698148 986c60a 3698148 986c60a 3698148 986c60a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
license: cc-by-nc-sa-4.0
---
# SciPar Parallel Documents
# Dataset Description
This dataset contains parallel documents (i.e., titles & abstracts) extracted from academic theses, dissertations, and other scientific texts.
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.
This version has been created through further processing and filtering to extract parallel **documents** instead of parallel **sentences**.
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.).
Please note that this dataset will keep getting updated to include *more language pairs*, per the original paper.
<br/>
Table 1: Number of parallel documents per language pair
| Lang. Pair | # Parallel Docs |
|------------|-----------------|
| EN-DE | 57,387 |
| EN-EL | 55,833 |
| EN-ES | 25,844 |
| EN-FR | 130,750 |
| EN-IT | 3,860 |
| TOTAL | 273,674 |
<br/>
# Related Datasets
The original datasets can be found in ELRC-SHARE:
- [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/)
- [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/)
- [SciPar UK-EN-RU in TMX format](https://elrc-share.eu/repository/browse/scipar-uk-en-ru/f635552ab06011ec9c1a00155d0267061ce92362f8af4c0b9d4f64d017c2df3f/)
# Citation
```
@inproceedings{roussis2022scipar,
title={SciPar: A collection of parallel corpora from scientific abstracts},
author={Roussis, Dimitrios and Papavassiliou, Vassilis and Prokopidis, Prokopis and Piperidis, Stelios and Katsouros, Vassilis},
booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},
pages={2652--2657},
year={2022}
}
``` |