MLSUM: The Multilingual Summarization Corpus
MLSUM: The Multilingual Summarization Corpus
Thomas Scialom,Paul-Alexis Dray,2 Authors,Jacopo Staiano
TLDR
This work presents MLSUM, the first large-scale MultiLingual SUMmarization dataset obtained from online newspapers, which contains 1.5M+ article/summary pairs in five different languages and reports cross-lingual comparative analyses based on state-of-the-art systems.
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.