Datasets:
annotations_creators:
- found
language_creators:
- found
language:
- es
- eu
license: cc-by-nc-sa-4.0
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- translation
task_ids: []
paperswithcode_id: eitb-parcc
pretty_name: EiTB-ParCC
dataset_info:
config_name: es-eu
features:
- name: translation
dtype:
translation:
languages:
- es
- eu
splits:
- name: train
num_bytes: 139038886
num_examples: 637183
download_size: 57244346
dataset_size: 139038886
Dataset Card for EiTB-ParCC
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://opus.nlpl.eu/EiTB-ParCC/corpus/version/EiTB-ParCC
- Repository: More Information Needed
- Paper: https://aclanthology.org/2020.lrec-1.469/
- Leaderboard: More Information Needed
- Point of Contact: More Information Needed
Dataset Summary
EiTB-ParCC: Parallel Corpus of Comparable News. A Basque-Spanish parallel corpus provided by
Vicomtech (https://www.vicomtech.org), extracted from comparable news produced by the
Basque public broadcasting group Euskal Irrati Telebista.
Supported Tasks and Leaderboards
Translation.
Languages
The languages in the dataset are:
- Spanish (
es
) - Basque (
eu
)
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
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
The corpus is distributed under the Creative Commons BY-NC-SA 4.0 license.
Citation Information
If you use any part of this corpus in your own work, please cite the following:
@inproceedings{etchegoyhen-gete-2020-handle,
title = "Handle with Care: A Case Study in Comparable Corpora Exploitation for Neural Machine Translation",
author = "Etchegoyhen, Thierry and
Gete, Harritxu",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.469",
pages = "3799--3807",
language = "English",
ISBN = "979-10-95546-34-4",
}
@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 @patil-suraj for adding this dataset.