Datasets:
Tasks:
Translation
Multilinguality:
multilingual
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
metadata
annotations_creators:
- found
language_creators:
- found
language:
- ar
- bg
- cs
- de
- el
- en
- es
- fa
- fr
- he
- hu
- it
- nl
- pl
- pt
- ro
- ru
- sl
- tr
- vi
license:
- unknown
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
pretty_name: OpusWikipedia
config_names:
- ar-en
- ar-pl
- en-ru
- en-sl
- en-vi
dataset_info:
- config_name: ar-en
features:
- name: id
dtype: string
- name: translation
dtype:
translation:
languages:
- ar
- en
splits:
- name: train
num_bytes: 45207523
num_examples: 151136
download_size: 26617751
dataset_size: 45207523
- config_name: ar-pl
features:
- name: id
dtype: string
- name: translation
dtype:
translation:
languages:
- ar
- pl
splits:
- name: train
num_bytes: 304850680
num_examples: 823715
download_size: 175806051
dataset_size: 304850680
- config_name: en-ru
features:
- name: id
dtype: string
- name: translation
dtype:
translation:
languages:
- en
- ru
splits:
- name: train
num_bytes: 167648361
num_examples: 572717
download_size: 97008376
dataset_size: 167648361
- config_name: en-sl
features:
- name: id
dtype: string
- name: translation
dtype:
translation:
languages:
- en
- sl
splits:
- name: train
num_bytes: 30479559
num_examples: 140124
download_size: 18557819
dataset_size: 30479559
- config_name: en-vi
features:
- name: id
dtype: string
- name: translation
dtype:
translation:
languages:
- en
- vi
splits:
- name: train
num_bytes: 7571526
num_examples: 58116
download_size: 3969559
dataset_size: 7571526
configs:
- config_name: ar-en
data_files:
- split: train
path: ar-en/train-*
- config_name: ar-pl
data_files:
- split: train
path: ar-pl/train-*
- config_name: en-ru
data_files:
- split: train
path: en-ru/train-*
- config_name: en-sl
data_files:
- split: train
path: en-sl/train-*
- config_name: en-vi
data_files:
- split: train
path: en-vi/train-*
Dataset Card for OpusWikipedia
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://opus.nlpl.eu/Wikipedia.php
- Repository: None
- Paper: http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf
- Leaderboard: [More Information Needed]
- Point of Contact: [More Information Needed]
Dataset Summary
This is a corpus of parallel sentences extracted from Wikipedia by Krzysztof Wołk and Krzysztof Marasek.
Tha dataset contains 20 languages and 36 bitexts.
To load a language pair which isn't part of the config, all you need to do is specify the language code as pairs, e.g.
dataset = load_dataset("opus_wikipedia", lang1="it", lang2="pl")
You can find the valid pairs in Homepage section of Dataset Description: http://opus.nlpl.eu/Wikipedia.php
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The languages in the dataset are:
- ar
- bg
- cs
- de
- el
- en
- es
- fa
- fr
- he
- hu
- it
- nl
- pl
- pt
- ro
- ru
- sl
- tr
- vi
Dataset Structure
Data Instances
{
'id': '0',
'translation': {
"ar": "* Encyclopaedia of Mathematics online encyclopaedia from Springer, Graduate-level reference work with over 8,000 entries, illuminating nearly 50,000 notions in mathematics.",
"en": "*Encyclopaedia of Mathematics online encyclopaedia from Springer, Graduate-level reference work with over 8,000 entries, illuminating nearly 50,000 notions in mathematics."
}
}
Data Fields
id(str): Unique identifier of the parallel sentence for the pair of languages.translation(dict): Parallel sentences for the pair of languages.
Data Splits
The dataset contains a single train split.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
[More Information Needed]
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
[More Information Needed]
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
@article{WOLK2014126,
title = {Building Subject-aligned Comparable Corpora and Mining it for Truly Parallel Sentence Pairs},
journal = {Procedia Technology},
volume = {18},
pages = {126-132},
year = {2014},
note = {International workshop on Innovations in Information and Communication Science and Technology, IICST 2014, 3-5 September 2014, Warsaw, Poland},
issn = {2212-0173},
doi = {https://doi.org/10.1016/j.protcy.2014.11.024},
url = {https://www.sciencedirect.com/science/article/pii/S2212017314005453},
author = {Krzysztof Wołk and Krzysztof Marasek},
keywords = {Comparable corpora, machine translation, NLP},
}
@InProceedings{TIEDEMANN12.463,
author = {J{\"o}rg Tiedemann},
title = {Parallel Data, Tools and Interfaces in OPUS},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)},
year = {2012},
month = {may},
date = {23-25},
address = {Istanbul, Turkey},
editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Ugur Dogan and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis},
publisher = {European Language Resources Association (ELRA)},
isbn = {978-2-9517408-7-7},
language = {english}
}
Contributions
Thanks to @rkc007 for adding this dataset.