README.md

---
license: cc-by-nc-sa-4.0
configs:
- config_name: en-de
  data_files:
  - split: train
    path: en-de/*.tsv
- config_name: en-el
  data_files:
  - split: train
    path: en-el/*.tsv
- config_name: en-es
  data_files:
  - split: train
    path: en-es/*.tsv
- config_name: en-fr
  data_files:
  - split: train
    path: en-fr/*.tsv
- config_name: en-it
  data_files:
  - split: train
    path: en-it/*.tsv
task_categories:
- text-generation
- text2text-generation
- translation
- summarization
language:
- en
- el
- de
- fr
- es
- it
size_categories:
- 100K<n<1M
---
# SciPar Parallel Documents

<br/>

# 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}
}
```