Datasets › SelQA

SelQA

Introduced by Tomasz Jurczyk et al. in SelQA: A New Benchmark for Selection-based Question Answering archive 2025-07-28

SelQA is a dataset that consists of questions generated through crowdsourcing and sentence length answers that are drawn from the ten most prevalent topics in the English Wikipedia.

Source: SelQA: A New Benchmark for Selection-based Question Answering

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 9 papers for it but never published that list.

Dataset loaders archive 2025-07-28

3 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

  • SelQA

1 variant name, as the archive lists them.

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