  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.
