MLSUM: The Multilingual Summarization Corpus
This dataset addresses the need for multilingual resources in text summarization, though it is incremental as it builds on existing monolingual datasets like CNN/DailyMail.
The authors introduced MLSUM, the first large-scale multilingual summarization dataset with over 1.5 million article-summary pairs in five languages, enabling new research in text summarization and revealing biases through cross-lingual analyses.
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.