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Datasets:
wecover
/
OPUS

Tasks:
Translation
Modalities:
Text
Formats:
parquet
Languages:
Afrikaans
Amharic
Arabic
Size:
10M - 100M
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Dataset card Data Studio Files Community
1
OPUS
File size: 2,662 Bytes 
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---
task_categories:
- translation
language:
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- mg
- mk
- ml
- mn
- mr
- ms
- my
- ne
- nl
- 'no'
- om
- or
- pa
- pl
- ps
- pt
- ro
- ru
- sa
- sd
- si
- sk
- sl
- so
- sq
- sr
- su
- sv
- sw
- ta
- te
- th
- tl
- tr
- ug
- uk
- ur
- uz
- vi
- xh
- yi
- zh
---

# Collection of OPUS

Corpus from https://opus.nlpl.eu has been collected. The following corpora have been included:
- [UNPC](https://cms.unov.org/UNCorpus)
- [GlobalVoices](https://globalvoices.org)
- [TED2020](https://www.ted.com/participate/translate)
- [News-Commentary](https://opus.nlpl.eu/News-Commentary/corpus/version/News-Commentary)
- [WikiMatrix](https://github.com/facebookresearch/LASER/tree/main/tasks/WikiMatrix)
- [Tatoeba](https://tatoeba.org/ko/)
- [Europarl](http://www.statmt.org/europarl/)
- [OpenSubtitles](http://www.opensubtitles.org/)

25,000 samples (randomly sampled within the first 100,000 samples) per language pair of each corpus were collected, with no modification of data.

# Licenses
### OPUS

```
@inproceedings{tiedemann2012parallel,
  title={Parallel data, tools and interfaces in OPUS.},
  author={Tiedemann, J{\"o}rg},
  booktitle={Lrec},
  volume={2012},
  pages={2214--2218},
  year={2012},
  organization={Citeseer}
}
```

### Tatoeba

CC BY 2.0 FR

### TED2020 

CC BY–NC–ND 4.0
```
@inproceedings{reimers-2020-multilingual-sentence-bert,
    title = "Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation",
    author = "Reimers, Nils and Gurevych, Iryna",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing",
    month = "11",
    year = "2020",
    publisher = "Association for Computational Linguistics",
    url = "https://arxiv.org/abs/2004.09813",
}
```

### WikiMatrix 
```
CC-BY-SA 4.0
@article{schwenk2019wikimatrix,
  title={Wikimatrix: Mining 135m parallel sentences in 1620 language pairs from wikipedia},
  author={Schwenk, Holger and Chaudhary, Vishrav and Sun, Shuo and Gong, Hongyu and Guzm{\'a}n, Francisco},
  journal={arXiv preprint arXiv:1907.05791},
  year={2019}
}
```

### UNPC
```
@inproceedings{ziemski2016united,
  title={The united nations parallel corpus v1. 0},
  author={Ziemski, Micha{\l} and Junczys-Dowmunt, Marcin and Pouliquen, Bruno},
  booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
  pages={3530--3534},
  year={2016}
}
```