MLSUM: The Multilingual Summarization Corpus

Apr 30, 2020·
Thomas Scialom
,
Paul-Alexis Dray
,
Sylvain Lamprier
,
Benjamin Piwowarski
,
Jacopo Staiano
· 0 min read
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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