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README.md
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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
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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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#### 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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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/).
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