Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
multi-class-classification
Languages:
Catalan
Size:
100K - 1M
License:
Commit
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README.md
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TeCla (Text Classification) is a Catalan News corpus for thematic Text Classification tasks. It contains 153.265 articles classified under 30 different categories.
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This dataset was developed by [BSC TeMU](https://temu.bsc.es/) as part of the Projecte AINA, to enrich the [Catalan Language Understanding Benchmark (CLUB)](https://temu-bsc.github.io/catalan-language-understanding-benchmark/).
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### Supported Tasks and Leaderboards
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## Dataset Creation
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### Methodology
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We crawled 219.586 articles from the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) newswire archive, the latest from October 11, 2020.
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We used the "subsection" category as a classification label, after excluding territorial labels (see [territorial_labels.txt](https://huggingface.co/datasets/projecte-aina/tecla/blob/main/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.
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### Curation Rationale
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We
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### Source Data
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The source data are crawled articles from the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) site.
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#### Who are the source language producers?
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The Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) 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](https://en.wikipedia.org/wiki/Catalan_News_Agency)).
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### Social Impact of Dataset
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### Discussion of Biases
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Casimiro Pio Carrino ([email protected]), Carlos Rodríguez ([email protected]) and Carme Armentano ([email protected]), from [BSC-CNS](https://www.bsc.es/).
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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.
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### Licensing Information
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TeCla (Text Classification) is a Catalan News corpus for thematic Text Classification tasks. It contains 153.265 articles classified under 30 different categories.
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This dataset was developed by [BSC TeMU](https://temu.bsc.es/) as part of the [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/), to enrich the [Catalan Language Understanding Benchmark (CLUB)](https://temu-bsc.github.io/catalan-language-understanding-benchmark/).
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### Supported Tasks and Leaderboards
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## Dataset Creation
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### Curation Rationale
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We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
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### Source Data
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The source data are crawled articles from the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) site.
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We crawled 219.586 articles from the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) newswire archive, the latest from October 11, 2020.
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We used the "subsection" category as a classification label, after excluding territorial labels (see [territorial_labels.txt](https://huggingface.co/datasets/projecte-aina/tecla/blob/main/territorial_labels.txt) file) and labels with less than 2000 occurrences.
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With this criteria compiled a total of 153.265 articles for this text classification dataset.
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#### Who are the source language producers?
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The Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) 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](https://en.wikipedia.org/wiki/Catalan_News_Agency)).
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### Social Impact of Dataset
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We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
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### Discussion of Biases
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Casimiro Pio Carrino ([email protected]), Carlos Rodríguez ([email protected]) and Carme Armentano ([email protected]), from [BSC-CNS](https://www.bsc.es/).
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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](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina/).
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### Licensing Information
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