Datasets:
YAML tags: null
annotations_creators:
- expert-generated
language_creators:
- found
language:
- ca
license:
- cc-by-nc-nd-4.0
multilinguality:
- monolingual
pretty_name: tecla
size_categories:
- unknown
source_datasets: []
task_categories:
- text-classification
task_ids:
- multi-class-classification
TeCla (Text Classification) Catalan dataset
Dataset Description
Website: https://zenodo.org/record/4761505
Point of Contact: Carlos Rodríguez-Penagos and Carme Armentano-Oller
Dataset Summary
TeCla is a Catalan News corpus for thematic Text Classification tasks. It contains 153.265 articles classified under 30 different categories.
This dataset was developed by BSC TeMU as part of the projecte Aina, to enrich the Catalan Language Understanding Benchmark (CLUB).
Supported Tasks and Leaderboards
Text classification, Language Model
Languages
The dataset is in Catalan (ca-CA).
Dataset Structure
Data Instances
Three 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": "1.0",
"data":
[
{
'sentence': 'L\\\\'editorial valenciana Media Vaca, Premi Nacional a la Millor Tasca Editorial Cultural del 2018. El jurat en destaca la cura "exquisida" del catàleg, la qualitat dels llibres i el "respecte" pels lectors. ACN Madrid.-L\\\\'editorial valenciana Media Vaca ha obtingut el Premi Nacional a la Millor Labor Editorial Cultural corresponent a l\\\\'any 2018 que atorga el Ministeri de Cultura i Esports. El guardó pretén distingir la tasca editorial d\\\\'una persona física o jurídica que hagi destacat per l\\\\'aportació a la vida cultural espanyola. El premi és de caràcter honorífic i no té dotació econòmica. En el cas de Media Vaca, fundada pel valencià Vicente Ferrer i la bilbaïna Begoña Lobo, el jurat n\\\\'ha destacat la cura "exquisida" del catàleg, la qualitat dels llibres i el "respecte" pels lectors i per la resta d\\\\'agents de la cadena del llibre. Media Vaca va publicar els primers llibres el desembre del 1998. El catàleg actual el componen 64 títols dividits en sis col·leccions, que barregen ficció i no ficció. Des del Ministeri de Cultura es destaca que la il·lustració té un pes "fonamental" als productes de l\\\\'editorial i que la majoria de projectes solen partir de propostes literàries i textos preexistents. L\\\\'editorial ha rebut quatre vegades el Bologna Ragazzi Award. És l\\\\'única editorial estatal que ha aconseguit el guardó que atorga la Fira del Llibre per a Nens de Bolonya, la més important del sector.',
'label': 'Lletres'
},
...
]
}
Labels
'Societat', 'Política', 'Turisme', 'Salut', 'Economia', 'Successos', 'Partits', 'Educació', 'Policial', 'Medi ambient', 'Parlament', 'Empresa', 'Judicial', 'Unió Europea', 'Comerç', 'Cultura', 'Cinema', 'Govern', 'Lletres', 'Infraestructures', 'Música', 'Festa i cultura popular', 'Teatre', 'Mobilitat', 'Govern espanyol', 'Equipaments i patrimoni', 'Meteorologia', 'Treball', 'Trànsit', 'Món'
Data Splits
- train.json: 110203 article-label pairs
- dev.json: 13786 article-label pairs
- test.json: 13786 article-label pairs
Dataset Creation
Methodology
We crawled 219.586 articles from the Catalan News Agency newswire archive, the latest from October 11, 2020. We used the "subsection" category as a classification label, after excluding territorial labels (see territorial_labels.txt file) and labels with less than 2000 occurrences. With this criteria compiled a total of 153.265 articles for this text classification dataset.
Curation Rationale
We used the "subsection" category as a classification label, after excluding territorial labels (see territorial_labels.txt file) and labels with less than 2000 occurrences.
Source Data
Initial Data Collection and Normalization
The source data are crawled articles from ACN (Catalan News Agency) site.
Who are the source language producers?
The Catalan News Agency (CNA, in Catalan: Agència Catalana de Notícies (ACN)) is a news agency owned by the Catalan government via the public corporation Intracatalònia, SA. It is one of the first digital news agencies created in Europe and has been operating since 1999 (source: wikipedia).
Annotations
Annotation process
We used the "subsection" category as a classification label, after excluding territorial labels (see territorial_labels.txt file) and labels with less than 2000 occurrences.
Who are the annotators?
Editorial staff classified the articles under the different thematic sections, and we extracted these from metadata.
Personal and Sensitive Information
No personal or sensitive information included.
Considerations for Using the Data
Social Impact of Dataset
[N/A]
Discussion of Biases
[N/A]
Other Known Limitations
[N/A]
Additional Information
Dataset Curators
Casimiro Pio Carrino, Carlos Rodríguez and Carme Armentano, from BSC-CNS.
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 the projecte Aina.
Licensing Information
This work is licensed under a Attribution-NonCommercial-NoDerivatives 4.0 International License.
Citation Information
@inproceedings{armengol-estape-etal-2021-multilingual,
title = "Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? {A} Comprehensive Assessment for {C}atalan",
author = "Armengol-Estap{\'e}, Jordi and
Carrino, Casimiro Pio and
Rodriguez-Penagos, Carlos and
de Gibert Bonet, Ona and
Armentano-Oller, Carme and
Gonzalez-Agirre, Aitor and
Melero, Maite and
Villegas, Marta",
booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
month = aug,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.findings-acl.437",
doi = "10.18653/v1/2021.findings-acl.437",
pages = "4933--4946",
}