Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu, Yue Dong, Laurent Charlin · 2020
Multi-document summarization is a challenging task for which there exists little largescale datasets.We propose Multi-XScience, a large-scale multi-document summarization dataset created from scientific articles.Multi-XScience introduces a challenging multidocument summarization task: writing the related-work section of a paper based on its abstract and the articles it references.Our work is inspired by extreme summarization, a dataset construction protocol that favours abstractive modeling approaches.Descriptive statistics and empirical results-using several state-of-the-art models trained on the Multi-XScience dataset-reveal that Multi-XScience is well suited for abstractive models. 1