Datasets:
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README.md
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@@ -120,7 +120,7 @@ The following pre-existing datasets were used:
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Apart from the pre-existing datasets, all of them coming from [CommonCrawl](https://commoncrawl.org/) dumps, the following
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sources provided their data on Open Data Agreements:
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**Media Groups**
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- [`IB3`](https://ib3.org/)
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- [`Grup El Món`](https://grupmon.cat/)
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- [`Vilaweb`](https://www.vilaweb.cat/)
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@@ -129,12 +129,12 @@ sources provided their data on Open Data Agreements:
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- [`Racó Català`](https://www.racocatala.cat/)
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- [`Aquí Berguedà`](https://www.aquibergueda.cat/)
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**Academic & Book Repositories**
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- [`Tesis Doctorals en Xarxa`](https://www.tesisenred.net/)
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- [`Wikipedia`](https://ca.wikipedia.org/)
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- [`Project Gutenberg`](https://www.gutenberg.org/)
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**Government Institutions**
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- [`Valencian Parliament`](https://www.cortsvalencianes.es/)
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- [`Diari Oficial de la Generalitat Valenciana`](https://dogv.gva.es/)
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- [`Butlletí Oficial de la Universitat d'Alacant`](https://www.boua.ua.es/)
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@@ -166,7 +166,7 @@ of the sources in the dataset are web-scraped, which may bring in biases and pri
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potential misuse. Additionally, it might overlook the voices of low-resource communities, amplifying existing disparities
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in representation.
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Given that Catalan is a mid-resourced language with representation in digital sources, this dataset
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becomes crucial for building inclusive NLP applications. It addresses the language's underrepresentation, empowering
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communities with improved access to information in their native language. However, careful consideration of potential
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biases and privacy issues is essential to ensure responsible and equitable technology use.
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Apart from the pre-existing datasets, all of them coming from [CommonCrawl](https://commoncrawl.org/) dumps, the following
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sources provided their data on Open Data Agreements:
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+
- **Media Groups**
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- [`IB3`](https://ib3.org/)
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- [`Grup El Món`](https://grupmon.cat/)
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- [`Vilaweb`](https://www.vilaweb.cat/)
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- [`Racó Català`](https://www.racocatala.cat/)
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- [`Aquí Berguedà`](https://www.aquibergueda.cat/)
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+
- **Academic & Book Repositories**
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- [`Tesis Doctorals en Xarxa`](https://www.tesisenred.net/)
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- [`Wikipedia`](https://ca.wikipedia.org/)
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- [`Project Gutenberg`](https://www.gutenberg.org/)
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+
- **Government Institutions**
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- [`Valencian Parliament`](https://www.cortsvalencianes.es/)
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- [`Diari Oficial de la Generalitat Valenciana`](https://dogv.gva.es/)
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- [`Butlletí Oficial de la Universitat d'Alacant`](https://www.boua.ua.es/)
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potential misuse. Additionally, it might overlook the voices of low-resource communities, amplifying existing disparities
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in representation.
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168 |
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+
Given that Catalan is a mid-resourced language with low representation in digital sources, this dataset
|
170 |
becomes crucial for building inclusive NLP applications. It addresses the language's underrepresentation, empowering
|
171 |
communities with improved access to information in their native language. However, careful consideration of potential
|
172 |
biases and privacy issues is essential to ensure responsible and equitable technology use.
|