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README.md
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- **Homepage:** https://zenodo.org/record/5483031
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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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### 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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- **Homepage:** https://zenodo.org/record/5483031
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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:** ona.degibert@bsc.es
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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 represantations.
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### Languages
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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 500 most popular .cat and .ad 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 multiple web pages in Catalan.
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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 unreliable web pages, there may be 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 (ona.degibert@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 the Aina project.
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### Licensing Information
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