mlsum

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.

本报告推出MLSUM，首个大规模多语言摘要数据集。该数据集源自网络报纸，包含超过150万篇/摘要配对，涵盖五种不同语言——法语、德语、西班牙语、俄语和土耳其语。与来自流行CNN/Daily mail数据集的英语报纸相结合，所收集的数据形成了一个大规模的多语言数据集，这将有助于推动文本摘要领域的新研究方向。我们基于最先进的系统进行了跨语言比较分析，这些分析突显了现有偏见，并激发了使用多语言数据集的必要性。