Dataset · Hugging Face

GEM/xwikis

The XWikis Corpus (Perez-Beltrachini and Lapata, 2021) provides datasets with different language pairs and directions for cross-lingual abstractive document summarisation. This current version includes four languages: English, German, French, and Czech. The dataset is derived from Wikipedia. It is based on the observation that for a Wikipedia title, the lead section provides an overview conveying salient information, while the body provides detailed information. It thus assumes the body and lead paragraph as a document-summary pair. Furthermore, as a Wikipedia title can be associated with Wiki

View on Hugging FaceReport an issue

Author / organization	GEM
License (as declared)	cc-by-sa-4.0
Downloads	3.4K (as reported by Hugging Face)
Likes	4
Created	14 March 2022
Last updated at source	22 February 2023

Embed this entry

<iframe src="https://silytics.si/embed/item/4087092f-dfae-4e4e-bb4a-e28680a85b15" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from GEM

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.