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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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https://hal.sorbonne-universite.fr/hal-02989017
Contributor : Benjamin Piwowarski <>
Submitted on : Thursday, November 5, 2020 - 7:47:15 AM
Last modification on : Friday, January 8, 2021 - 5:36:04 PM

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

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

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