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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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  #### 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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  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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  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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  #### 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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  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 Projecte AINA.
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  ### Licensing Information
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