MLSUM: The Multilingual Summarization Corpus
About
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.
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano• 2020
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Summarization | MLSUM (test) | Score (De)42.01 | 15 | |
| Summarization | MLSUM German | ROUGE-20.25 | 14 | |
| Extractive Summarization | WikiLingua (test) | Score (De)18.83 | 7 |
Showing 3 of 3 rows