What are Question Answering datasets used for?

Question Answering datasets are collections of labelled or raw data used to train, fine-tune, and evaluate models on the question answering task. This page lists 130 such datasets, each linking to its source and paper.

Which Question Answering dataset is best for benchmarking?

4 of these Question Answering datasets are tracked as benchmarks, including corbyrosset/researchy_questions. See the Benchmarks section for model leaderboards.

How many Question Answering datasets are there?

We catalog 130 Question Answering datasets in one searchable directory.

Question Answering Datasets

There are 130 question answering datasets in our directory, 4 of which are benchmarks. Each links to its source, paper, and download — browse the full list below or filter by language.

Question Answering is the task of returning a precise answer to a natural-language question, often grounded in a supporting passage. We catalog 130 datasets for it.

Updated June 2026

What languages do question answering datasets cover?

English datasets (61)EN datasets (50)ZH datasets (18)DE datasets (2)Russian datasets (2)Vietnamese datasets (2)CS datasets (1)DA datasets (1)Portuguese datasets (1)Chinese datasets (1)Korean datasets (1)French datasets (1)Hindi datasets (1)Arabic datasets (1)JA datasets (1)PT datasets (1)ES datasets (1)AM datasets (1)

Explore other dataset tasks

General NLP(297)Text Corpora(154)Text Generation(137)Classification(45)Reading Comprehension(43)Text Classification(33)Machine Translation(25)Sentiment Analysis(21)Dialogue(21)Visual Question Answering(21)Text To Image(20)Image To Text(18)

What languages do question answering datasets cover?

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Frequently asked questions

What are Question Answering datasets used for?

Which Question Answering dataset is best for benchmarking?

How many Question Answering datasets are there?