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MLSUM: The Multilingual Summarization Corpus

Abstract : 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.
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Contributor : Benjamin Piwowarski Connect in order to contact the contributor
Submitted on : Thursday, November 5, 2020 - 7:47:15 AM
Last modification on : Sunday, June 26, 2022 - 2:55:41 AM

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  • HAL Id : hal-02989017, version 1
  • ARXIV : 2004.14900


Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano. MLSUM: The Multilingual Summarization Corpus. 2020. ⟨hal-02989017⟩



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