Philosophy

Artificial intelligence

Turkish

Political science

Geography

Multi-document summarization

Automatic summarization

Computer science

Cartography

World Wide Web

Newspaper

Scale (ratio)

Linguistics

German

Information retrieval

Natural language processing

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 news articles 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.

MLSUM: The Multilingual Summarization Corpus