Datasets › WebBrain-Raw

WebBrain-Raw

Introduced by Hongjing Qian et al. in WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus10 Apr 2023 archive 2025-07-28

WebBrain-Raw is a large-scale dataset built from English Wikipedia articles and their crawlable Wikipedia references. It comprises 153 zipped data chunks in which each line is a Wikipedia page with its reference articles.

Source: WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Apache-2.0 license

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

Variants archive 2025-07-28

  • WebBrain-Raw

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections