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Open-Domain Question Answering datasets
archive 2025-07-2826 datasets carry the task tag "Open-Domain Question Answering" (the task itself: Open-Domain Question Answering), ordered by the archive's paper count. Page 1 of 1: 26 shown of 26. 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
All 12,172
Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Open-Domain Question Answering 26
Open-Domain Question Answering datasets 1–26 of 26
The Natural Questions corpus is a question answering dataset containing 307,373 training examples, 7,830 development examples, and 7,842 test examples.
1,404 papers · 9 benchmarks
TriviaQA is a realistic text-based question answering dataset which includes 950K question-answer pairs from 662K documents collected from Wikipedia and the web.
953 papers · 5 benchmarks
ScienceQA (Science Question Answering)
Science Question Answering (ScienceQA) is a new benchmark that consists of 21,208 multimodal multiple choice questions with diverse science topics and annotations of their answers with corresponding lectures and explanations.
339 papers · 1 benchmark
The WebQuestions dataset is a question answering dataset using Freebase as the knowledge base and contains 6,642 question-answer pairs.
241 papers · 4 benchmarks
LAMA (LAnguage Model Analysis)
LAnguage Model Analysis (LAMA) consists of a set of knowledge sources, each comprised of a set of facts.
214 papers · 0 benchmarks
ELI5 is a dataset for long-form question answering.
158 papers · 1 benchmark
SQuAD (Stanford Question Answering Dataset)
The Stanford Question Answering Dataset (SQuAD) is a collection of question-answer pairs derived from Wikipedia articles.
151 papers · 12 benchmarks
SearchQA was built using an in-production, commercial search engine.
133 papers · 1 benchmark
KILT (KILT Benchmark)
KILT (Knowledge Intensive Language Tasks) is a benchmark consisting of 11 datasets representing 5 types of tasks: Fact-checking (FEVER), Entity linking (AIDA CoNLL-YAGO, WNED-WIKI, WNED-CWEB), Slot filling (T-Rex, Zero Shot RE), Open…
117 papers · 11 benchmarks
DuReader is a large-scale open-domain Chinese machine reading comprehension dataset.
65 papers · 1 benchmark
QUASAR-T (QUestion Answering by Search And Reading – Trivia)
QUASAR-T is a large-scale dataset aimed at evaluating systems designed to comprehend a natural language query and extract its answer from a large corpus of text.
55 papers · 1 benchmark
QReCC contains 14K conversations with 81K question-answer pairs.
51 papers · 0 benchmarks
MKQA (Multilingual Knowledge Questions and Answers)
Multilingual Knowledge Questions and Answers (MKQA) is an open-domain question answering evaluation set comprising 10k question-answer pairs aligned across 26 typologically diverse languages (260k question-answer pairs in total).
49 papers · 0 benchmarks
TQA (Textbook Question Answering)
The TextbookQuestionAnswering (TQA) dataset is drawn from middle school science curricula.
48 papers · 1 benchmark
QUASAR (QUestion Answering by Search And Reading)
The Question Answering by Search And Reading (QUASAR) is a large-scale dataset consisting of QUASAR-S and QUASAR-T.
47 papers · 1 benchmark
Break is a question understanding dataset, aimed at training models to reason over complex questions.
39 papers · 0 benchmarks
WikiMovies is a dataset for question answering for movies content.
39 papers · 0 benchmarks
InfoSeek (Visual Information Seeking)
In this project, we introduce InfoSeek, a visual question answering dataset tailored for information-seeking questions that cannot be answered with only common sense knowledge.
36 papers · 2 benchmarks
Composed of 1,395 questions posed by crowdworkers on Wikipedia articles, and a machine translation of the Stanford Question Answering Dataset (Arabic-SQuAD).
24 papers · 0 benchmarks
OVEN (Open-domain Visual Entity Recognition)
In this project, we formally present the task of Open-domain Visual Entity recognitioN (OVEN), where a model need to link an image onto a Wikipedia entity with respect to a text query.
19 papers · 1 benchmark
QAMPARI is an ODQA benchmark, where question answers are lists of entities, spread across many paragraphs.
19 papers · 0 benchmarks
XQA is a data which consists of a total amount of 90k question-answer pairs in nine languages for cross-lingual open-domain question answering.
6 papers · 0 benchmarks
ConcurrentQA is a textual multi-hop QA benchmark to require concurrent retrieval over multiple data-distributions (i.e.
3 papers · 1 benchmark
CREPE is QA dataset containing a natural distribution of presupposition failures from online information-seeking forums.
2 papers · 0 benchmarks
CoreSearch is a dataset for Cross-Document Event Coreference Search.
1 paper · 0 benchmarks
WikiQAar (English-Arabic Wikipedia Question-Answering)
A publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering.
1 paper · 0 benchmarks
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.