YAML tags: null
annotations_creators:
- auromatically-generated
language_creators:
- found
language:
- ca
license:
- cc-by-sa-3.0
multilinguality:
- monolingual
pretty_name: wikicat_ca
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
WikiCAT_ca: Catalan Text Classification dataset
Dataset Description
Paper:
Point of Contact: Carlos Rodríguez-Penagos (carlos.rodriguez1@bsc.es)
Repository
https://github.com/TeMU-BSC/WikiCAT
Dataset Summary
WikiCAT_ca is a Catalan corpus for thematic Text Classification tasks. It is created automagically from Wikipedia and Wikidata sources, and contains 13201 articles from the Viquipedia classified under 19 different categories.
This dataset was developed by BSC TeMU as part of the AINA project, and intended as an evaluation of LT capabilities to generate useful synthetic corpus.
Supported Tasks and Leaderboards
Text classification, Language Model
Languages
CA- Catalan
Dataset Structure
Data Instances
Two json files, one for each split.
Data Fields
We used a simple model with the article text and associated labels, without further metadata.
Example:
{"version": "1.1.0",
"data":
[
{
'sentence': ' Celsius és conegut com l\'inventor de l\'escala centesimal del termòmetre. Encara que aquest instrument és un invent molt antic, la història de la seva gradació és molt més capritxosa. Durant el segle xvi era graduat com "fred" col·locant-lo (...)',
'label': 'Ciència'
},
.
.
.
]
}
Labels
'Història', 'Tecnologia', 'Humanitats', 'Economia', 'Dret', 'Esport', 'Política', 'Govern', 'Entreteniment', 'Natura', 'Exèrcit', 'Salut_i_benestar_social', 'Matemàtiques', 'Filosofia', 'Ciència', 'Música', 'Enginyeria', 'Empresa', 'Religió'
Data Splits
- hfeval_ca.json: 3970 label-document pairs
- hftrain_ca.json: 9231 label-document pairs
Dataset Creation
Methodology
“Category” starting pages are chosen to represent the topics in each language.
We extract, for each category, the main pages, as well as the subcategories ones, and the individual pages under this first level. For each page, the "summary" provided by Wikipedia is also extracted as the representative text.
Curation Rationale
Source Data
Initial Data Collection and Normalization
The source data are thematic categories in the different Wikipedias
Who are the source language producers?
Annotations
Annotation process
Automatic annotation
Who are the annotators?
[N/A]
Personal and Sensitive Information
No personal or sensitive information included.
Considerations for Using the Data
Social Impact of Dataset
We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
Discussion of Biases
We are aware that this data might contain biases. We have not applied any steps to reduce their impact.
Other Known Limitations
[N/A]
Additional Information
Dataset Curators
Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (bsc-temu@bsc.es)
This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA.
Licensing Information
This work is licensed under a Attribution-ShareAlike 4.0 International.
Contributions
[N/A]