Datasets:

projecte-aina
/

WikiCAT_ca

YAML tags: null
annotations_creators:
  - auromatically-generated
language_creators:
  - found
language:
  - ca
license: cc-by-sa-4.0
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

Homepage: Projecte AINA
Repository (HF): huggingface.co/projecte-aina
Repository (GitHub): TeMU-BSC/WikiCAT
Point of Contact: [email protected]

Dataset Summary

WikiCAT_ca is a Catalan corpus for thematic text classification tasks. It is automatically generated from Wikipedia and Wikidata sources, and contains 13,201 articles from the Viquipèdia classified under 13 different categories.

The dataset was developed by the Text Mining Unit (TeMU) at the Barcelona Supercomputing Center (BSC) within the framework of Projecte AINA. It is intended as an evaluation resource for language technologies applied to Catalan.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Supported Tasks and Leaderboards

Text classification (multi-class)
Evaluation for Catalan language models

Languages

Catalan (ca-ES)

Dataset Structure

Data Instances

Each instance consists of an article text and its associated thematic label.

Example:

{
  "sentence": "Celsius és conegut com l'inventor de l'escala centesimal del termòmetre...",
  "label": "Ciència"
}

Data Fields

sentence: string — text extracted from a Wikipedia article.
label: string — one of 13 thematic categories.

Labels

Ciència_i_Tecnologia
Dret
Economia
Enginyeria
Entreteniment
Esport
Filosofia
Història
Humanitats
Matemàtiques
Música
Política
Religió

Data Splits

train_ca.json: 9,907 label-document pairs
dev_ca.json: 2,484 label-document pairs

Dataset Creation

Curation Rationale

The dataset was created to provide a freely available resource for Catalan, a low-resource language, supporting the development of classification models.

Source Data

Collection: Pages were selected from thematic categories in Wikipedia (Catalan edition), including main pages, subcategories, and individual articles.
Text extraction: The article summaries were used as representative text.

Annotations

Process: Automatic annotation based on Wikipedia categories.
Annotators: N/A (fully automated).

Personal and Sensitive Information

The dataset does not contain personal or sensitive information.

Considerations for Using the Data

Social Impact

This corpus supports the development of NLP resources for Catalan, helping reduce the resource gap for minority languages.

Bias and Limitations

Thematic coverage is dependent on Wikipedia categories, which may introduce systemic biases.
No steps were applied to mitigate potential biases.
Some categories may be underrepresented compared to others.

Additional Information

Dataset Curators

Text Mining Unit (TeMU), Barcelona Supercomputing Center (BSC)
- Contact: [email protected]

Funding

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

License: CC BY-SA 4.0

Contributions

N/A