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  ### Dataset Summary
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  caBreu is a summarization dataset.
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- It is extracted from a newswire corpus crawled from the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)), the Catalan news portal [VilaWeb](https://www.vilaweb.cat/) and [NacióDigital](https://www.naciodigital.cat/)
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- The corpus consists of 3,000 articles and extreme, abstractive and extractive summaries manually done by three annotators.
 
 
 
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  ### Supported Tasks and Leaderboards
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  ### Data Fields
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  - `id` (str): The id of the piece of news
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  - `title` (str): The title of the piece of news
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  - `subtitle` (str): The subtitle of the piece of news
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  ### Data Splits
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- We split our dataset into train, dev and test splits
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  - train: 2,399 documents
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  - validation: 299 documents
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  #### Initial Data Collection and Normalization
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- We obtained each headline and its corresponding body of each news piece on the
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- Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/))
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- website and applied the following cleaning pipeline: deduplicating the documents,
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- removing the documents with empty attributes, and deleting some boilerplate sentences.
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  #### Who are the source language producers?
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- The news portal Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)).
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  ### Annotations
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- Each article contains extreme, abstractive and extractive summaries done by three annotators.
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  #### Annotation process
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- - Each article data was summarized by 3 annotators.
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  #### Who are the annotators?
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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](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
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  ### Licensing information
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  This work is licensed under a [Creative Commons Attribution Non-commercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).
 
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  ### Dataset Summary
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  caBreu is a summarization dataset.
 
 
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+ The corpus consists of 3,000 articles and their extreme, abstractive and extractive summaries manually done by three annotators.
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+
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+ Articles were collected from the Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) and
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+ the Catalan news portal [VilaWeb](https://www.vilaweb.cat/) and [NacióDigital](https://www.naciodigital.cat/).
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  ### Supported Tasks and Leaderboards
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  ### Data Fields
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  - `id` (str): The id of the piece of news
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  - `title` (str): The title of the piece of news
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  - `subtitle` (str): The subtitle of the piece of news
 
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  ### Data Splits
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+ We split our dataset into train, dev and test splits:
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  - train: 2,399 documents
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  - validation: 299 documents
 
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  #### Initial Data Collection and Normalization
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  #### Who are the source language producers?
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+ The Catalan News Agency ([Agència Catalana de Notícies; ACN](https://www.acn.cat/)) and the Catalan news portal [VilaWeb](https://www.vilaweb.cat/) and [NacióDigital](https://www.naciodigital.cat/).
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  ### Annotations
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+ Each article contains extreme, abstractive and extractive summaries.
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  #### Annotation process
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+ Each article data was summarized by 3 annotators.
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  #### Who are the annotators?
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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](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
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  ### Licensing information
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  This work is licensed under a [Creative Commons Attribution Non-commercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).