Datasets › WCEP

WCEP (Wikipedia Current Events Portal)

Introduced by Demian Gholipour Ghalandari et al. in A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal20 May 2020 archive 2025-07-28

The WCEP dataset for multi-document summarization (MDS) consists of short, human-written summaries about news events, obtained from the Wikipedia Current Events Portal (WCEP), each paired with a cluster of news articles associated with an event. These articles consist of sources cited by editors on WCEP, and are extended with articles automatically obtained from the Common Crawl News dataset.

Source: WCEP

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Multi-Document Summarization WCEP PRIMER ROUGE-1 46.1 PRIMERA: Pyramid-based Masked Sentence Pre-training for... allenai/primer +2 1 Compare

Papers archive 2025-07-28

1 shown of 1 paper with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 31. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization 3 1 16 Oct 2021 ran 4 of 7 samples (3 unverified)

Dataset loaders archive 2025-07-28

7 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • WCEP

1 variant name, as the archive lists them.

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