Datasets › CCQA

CCQA

Introduced by Patrick Huber et al. in CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training14 Oct 2021 archive 2025-07-28

CCQA is new web-scale dataset for in-domain model pre-training. CCQA is a novel QA dataset based on the Common Crawl project. Using the readily available schema.org annotation, around 130 million multilingual question-answer pairs are extracted, including about 60 million English data-points.

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

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License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • CCQA

1 variant name, as the archive lists them.

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