XSum is an English single-document summarization benchmark of 226,711 BBC articles paired with a one-sentence summary each.
unassessed
| Category | generation |
|---|---|
| Subcategory | single-document abstractive summarization |
| Page status | active |
| Metric | ROUGE-1/2/L |
| Direction | higher_is_better |
| Unit | F1 |
| Dataset size | 226711 |
| Publisher | University of Edinburgh (EdinburghNLP) |
XSum tests abstractive single-document summarization. Given a full BBC news article, the model must produce a single, fluent sentence answering "what is this article about", a format designed to discourage extractive copy-paste strategies and require genuine synthesis.
Abstractive summarization; generate a single-sentence summary of a full news article.
No model card in ModelSpec reports this benchmark yet.