Datasets:
metadata
annotations_creators:
- no-annotation
language_creators:
- expert-generated
languages:
- ca
- es
licenses:
- cc0-1-0
multilinguality:
- translation
size_categories:
- n>1M
source_datasets:
- original
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
Dataset Card for OPUS DOGC
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: http://opus.nlpl.eu/DOGC.php
- Repository:
- Paper:
- Leaderboard:
- Point of Contact:
Dataset Summary
OPUS DOGC is a collection of documents from the Official Journal of the Government of Catalonia, in Catalan and Spanish languages, provided by Antoni Oliver Gonzalez from the Universitat Oberta de Catalunya.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Dataset is multilingual with parallel text in:
- Catalan
- Spanish
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
A data instance contains the following fields:
ca
: the Catalan textes
: the aligned Spanish text
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
Dataset is in the Public Domain under CC0 1.0.
Citation Information
@inproceedings{tiedemann-2012-parallel,
title = "Parallel Data, Tools and Interfaces in {OPUS}",
author = {Tiedemann, J{\"o}rg},
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/463_Paper.pdf",
pages = "2214--2218",
abstract = "This paper presents the current status of OPUS, a growing language resource of parallel corpora and related tools. The focus in OPUS is to provide freely available data sets in various formats together with basic annotation to be useful for applications in computational linguistics, translation studies and cross-linguistic corpus studies. In this paper, we report about new data sets and their features, additional annotation tools and models provided from the website and essential interfaces and on-line services included in the project.",
}