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- **Homepage:** https://zenodo.org/record/5511667
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- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
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- **Point of Contact:**
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### Dataset Summary
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### Supported Tasks and Leaderboards
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### Languages
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The dataset is in Catalan (`ca`).
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## Dataset Structure
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### Data Splits
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The dataset contains a single split:
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## Dataset Creation
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### Curation Rationale
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### Source Data
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#### Initial Data Collection and Normalization
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#### Who are the source language producers?
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### Annotations
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#### Annotation process
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#### Who are the annotators?
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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### Discussion of Biases
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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### Licensing Information
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### Contributions
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Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
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- **Homepage:** https://zenodo.org/record/5511667
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- **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
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- **Point of Contact:** [[email protected]]([email protected])
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### Dataset Summary
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### Supported Tasks and Leaderboards
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This corpus is mainly intended to pretrain language models and word representations.
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### Languages
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The dataset is in Catalan (`ca-CA`).
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## Dataset Structure
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### Data Splits
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The dataset contains a single split: `train`.
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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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#### Initial Data Collection and Normalization
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The corpus has been obtained by crawling the all the `.gencat.cat` domains during July 2020.
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For preprocessing we used [Corpus-Cleaner](https://github.com/TeMU-BSC/corpus-cleaner-acl), a modular Python-based toolkit to clean raw text corpora through generator pipelines.
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#### Who are the source language producers?
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The data comes from the official Catalan Government websites.
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### Annotations
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The dataset is unannotated.
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#### Annotation process
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[N/A]
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#### Who are the annotators?
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[N/A]
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### Personal and Sensitive Information
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Since all data comes from public websites, no anonymisation process was performed.
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## Considerations for Using the Data
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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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We are aware that since the data comes from public web pages, some biases may be present in the dataset. Nonetheless, we have not applied any steps to reduce their impact.
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### Other Known Limitations
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[N/A]
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## Additional Information
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### Dataset Curators
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Ona de Gibert Bonet, Barcelona Supercomputing Center ([email protected])
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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 the Aina project.
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### Licensing Information
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### Contributions
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Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
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