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Generative Question Answering datasets

archive 2025-07-28

6 datasets carry the task tag "Generative Question Answering" (the task itself: Generative Question Answering), ordered by the archive's paper count. Page 1 of 1: 6 shown of 6. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Generative Question Answering datasets 1–6 of 6

The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 benchmarks
CoQA (Conversational Question Answering Challenge)
CoQA is a large-scale dataset for building Conversational Question Answering systems.
281 papers · 2 benchmarks
CICERO (Contextualized Commonsense Inference in Dialogues)
CICERO contains 53,000 inferences for five commonsense dimensions -- cause, subsequent event, prerequisite, motivation, and emotional reaction -- collected from 5600 dialogues.
12 papers · 4 benchmarks
FrenchMedMCQA (FrenchMedMCQA: A French Multiple-Choice Question Answering Dataset for Medical domain)
This paper introduces FrenchMedMCQA, the first publicly available Multiple-Choice Question Answering (MCQA) dataset in French for medical domain.
6 papers · 1 benchmark
LLeQA (Long-form Legal Question Answering)
LLeQA is a French native dataset for studying information retrieval and long-form question answering in the legal domain.
3 papers · 0 benchmarks
Dataset with articles posted in the r/Liberal and r/Conservative subreddits.
1 paper · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.