MLSUM: The Multilingual Summarization Corpus

We present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish. Together with English newspapers from the popular CNN/Daily mail data...

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Bibliographic Details
Published inarXiv.org
Main Authors Scialom, Thomas, Paul-Alexis Dray, Lamprier, Sylvain, Piwowarski, Benjamin, Staiano, Jacopo
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 30.04.2020
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Summary:We present MLSUM, the first large-scale MultiLingual SUMmarization dataset. Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish. Together with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community. We report cross-lingual comparative analyses based on state-of-the-art systems. These highlight existing biases which motivate the use of a multi-lingual dataset.
ISSN:2331-8422