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  - **Homepage:** https://zenodo.org/record/4519349
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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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- The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources: existing corpus such as DOGC, CaWac (non-dedup version), Oscar (unshuffled version), Open Subtitles, Catalan Wikipedia; and three brand new crawlings: the Catalan General Crawling, obtained by crawling the 500 most popular .cat and .ad domains; the Catalan Government Crawling, obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government; and the ACN corpus with 220k news items from March 2015 until October 2020, crawled from the Catalan News Agency.
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  It consists of 1.758.388.896 tokens, 73.172.152 sentences and 12.556.365 documents. Documents are separated by single new lines. These boundaries have been preserved as long as the license allowed it.
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  ### Supported Tasks and Leaderboards
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- [More Information Needed]
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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: "train".
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  ## Dataset Creation
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  ### Curation Rationale
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- [More Information Needed]
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  ### Source Data
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  #### Initial Data Collection and Normalization
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- [More Information Needed]
 
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  #### Who are the source language producers?
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- [More Information Needed]
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  ### Annotations
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  #### Annotation process
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- [More Information Needed]
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  #### Who are the annotators?
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- [More Information Needed]
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  ### Personal and Sensitive Information
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- [More Information Needed]
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  ## Considerations for Using the Data
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  ### Social Impact of Dataset
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- [More Information Needed]
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  ### Discussion of Biases
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- [More Information Needed]
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  ### Other Known Limitations
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- [More Information Needed]
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  ## Additional Information
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  ### Dataset Curators
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- [More Information Needed]
 
 
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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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- ### Funding
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- This work was funded by the [Catalan Ministry of the Vice-presidency, Digital Policies and Territory](https://politiquesdigitals.gencat.cat/en/inici/index.html) within the framework of the [Aina project](https://politiquesdigitals.gencat.cat/ca/tic/aina-el-projecte-per-garantir-el-catala-en-lera-digital/).
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  - **Homepage:** https://zenodo.org/record/4519349
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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](ona.degibert@bsc.es)
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  ### Dataset Summary
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+ The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources.
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  It consists of 1.758.388.896 tokens, 73.172.152 sentences and 12.556.365 documents. Documents are separated by single new lines. These boundaries have been preserved as long as the license allowed it.
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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 Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources: existing corpora such as DOGC, CaWac (non-dedup version), Oscar (unshuffled version), Open Subtitles, Catalan Wikipedia; and three brand new crawlings: the Catalan General Crawling, obtained by crawling the 500 most popular .cat and .ad domains; the Catalan Government Crawling, obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government; and the ACN corpus with 220k news items from March 2015 until October 2020, crawled from the Catalan News Agency.
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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 original data comes from various sources: existing corpora and crawlings from public 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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+ 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 and multilingual crawled corpora, 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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  ### Contributions
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+ Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.