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  - multi-class-classification
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  ---
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- # TeCla (Text Classification) Catalan dataset
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  ## Dataset Description
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  ### Dataset Summary
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- TeCla 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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  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](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the Projecte AINA.
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  ### Licensing Information
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  ### Citation Information
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  ```
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  @inproceedings{armengol-estape-etal-2021-multilingual,
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  pages = "4933--4946",
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  }
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  ```
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  [DOI](https://doi.org/10.5281/zenodo.4529183)
 
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  ---
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+ # Dataset Card for TeCla
 
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  ## Dataset Description
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  ### Dataset Summary
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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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  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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  ### Citation Information
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  ```
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  @inproceedings{armengol-estape-etal-2021-multilingual,
 
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  pages = "4933--4946",
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  }
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  ```
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  [DOI](https://doi.org/10.5281/zenodo.4529183)