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Question Answering datasets
archive 2025-07-28413 datasets carry the task tag "Question Answering" (the task itself: Question Answering), ordered by the archive's paper count. Page 1 of 9: 48 shown of 413. 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 50 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 52
Question Answering datasets 1–48 of 413
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 benchmarks
The MNIST database (Modified National Institute of Standards and Technology database) is a large collection of handwritten digits.
7,651 papers · 44 benchmarks
MML (Massive Multitask Language Understanding)
MMLU (Massive Multitask Language Understanding) is a new benchmark designed to measure knowledge acquired during pretraining by evaluating models exclusively in zero-shot and few-shot settings.
1,922 papers · 29 benchmarks
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
MS MARCO (Microsoft Machine Reading Comprehension Dataset)
The MS MARCO (Microsoft MAchine Reading Comprehension) is a collection of datasets focused on deep learning in search.
1,036 papers · 7 benchmarks
HellaSwag is a challenge dataset for evaluating commonsense NLI that is specially hard for state-of-the-art models, though its questions are trivial for humans (>95% accuracy).
994 papers · 6 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
HotpotQA is a question answering dataset collected on the English Wikipedia, containing about 113K crowd-sourced questions that are constructed to require the introduction paragraphs of two Wikipedia articles to answer.
933 papers · 3 benchmarks
ConceptNet is a knowledge graph that connects words and phrases of natural language with labeled edges.
852 papers · 1 benchmark
PIQA (Physical Interaction: Question Answering)
PIQA is a dataset for commonsense reasoning, and was created to investigate the physical knowledge of existing models in NLP.
772 papers · 2 benchmarks
WinoGrande is a large-scale dataset of 44k problems, inspired by the original WSC design, but adjusted to improve both the scale and the hardness of the dataset.
703 papers · 7 benchmarks
BoolQ (Boolean Questions)
BoolQ is a question answering dataset for yes/no questions containing 15942 examples.
701 papers · 5 benchmarks
The Reddit dataset is a graph dataset from Reddit posts made in the month of September, 2014.
699 papers · 8 benchmarks
OpenBookQA (OBQA)
OpenBookQA is a new kind of question-answering dataset modeled after open book exams for assessing human understanding of a subject.
635 papers · 3 benchmarks
TruthfulQA is a benchmark to measure whether a language model is truthful in generating answers to questions.
607 papers · 3 benchmarks
CNN/Daily Mail is a dataset for text summarization.
530 papers · 8 benchmarks
FEVER (Fact Extraction and VERification)
FEVER is a publicly available dataset for fact extraction and verification against textual sources.
498 papers · 3 benchmarks
TextVQA is a dataset to benchmark visual reasoning based on text in images.
476 papers · 3 benchmarks
RACE (ReAding Comprehension dataset from Examinations)
The ReAding Comprehension dataset from Examinations (RACE) dataset is a machine reading comprehension dataset consisting of 27,933 passages and 97,867 questions from English exams, targeting Chinese students aged 12-18.
412 papers · 3 benchmarks
DROP (Discrete Reasoning Over Paragraphs)
Discrete Reasoning Over Paragraphs DROP is a crowdsourced, adversarially-created, 96k-question benchmark, in which a system must resolve references in a question, perhaps to multiple input positions, and perform discrete operations over…
382 papers · 3 benchmarks
OK-VQA (Outside Knowledge Visual Question Answering)
Outside Knowledge Visual Question Answering (OK-VQA) includes more than 14,000 questions that require external knowledge to answer.
368 papers · 2 benchmarks
BBH (BIG-Bench Hard)
BIG-Bench Hard (BBH) is a subset of the BIG-Bench, a diverse evaluation suite for language models.
352 papers · 2 benchmarks
Automatic image captioning is the task of producing a natural-language utterance (usually a sentence) that correctly reflects the visual content of an image.
352 papers · 2 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
COPA (Choice of Plausible Alternatives)
The Choice Of Plausible Alternatives (COPA) evaluation provides researchers with a tool for assessing progress in open-domain commonsense causal reasoning.
329 papers · 1 benchmark
Multiple choice question answering based on the United States Medical License Exams (USMLE).
328 papers · 1 benchmark
BEIR (Benchmarking IR)
BEIR (Benchmarking IR) is a heterogeneous benchmark containing different information retrieval (IR) tasks.
311 papers · 10 benchmarks
StrategyQA is a question answering benchmark where the required reasoning steps are implicit in the question, and should be inferred using a strategy.
291 papers · 1 benchmark
DocVQA consists of 50,000 questions defined on 12,000+ document images.
290 papers · 3 benchmarks
CoQA (Conversational Question Answering Challenge)
CoQA is a large-scale dataset for building Conversational Question Answering systems.
281 papers · 2 benchmarks
The task of PubMedQA is to answer research questions with yes/no/maybe (e.g.: Do preoperative statins reduce atrial fibrillation after coronary artery bypass grafting?) using the corresponding abstracts.
276 papers · 3 benchmarks
The NewsQA dataset is a crowd-sourced machine reading comprehension dataset of 120,000 question-answer pairs.
272 papers · 1 benchmark
WikiSQL consists of a corpus of 87,726 hand-annotated SQL query and natural language question pairs.
267 papers · 4 benchmarks
MathVista (Mathematical Reasoning of in Visual Contexts)
MathVista is a consolidated Mathematical reasoning benchmark within Visual contexts.
242 papers · 0 benchmarks
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
AI2D (AI2 Diagrams)
AI2 Diagrams (AI2D) is a dataset of over 5000 grade school science diagrams with over 150000 rich annotations, their ground truth syntactic parses, and more than 15000 corresponding multiple choice questions.
207 papers · 1 benchmark
The NarrativeQA dataset includes a list of documents with Wikipedia summaries, links to full stories, and questions and answers.
206 papers · 1 benchmark
WikiQA (Wikipedia open-domain Question Answering)
The WikiQA corpus is a publicly available set of question and sentence pairs, collected and annotated for research on open-domain question answering.
196 papers · 2 benchmarks
BioASQ (Biomedical Semantic Indexing and Question Answering)
BioASQ is a question answering dataset.
192 papers · 1 benchmark
XQuAD (Cross-lingual Question Answering Dataset) is a benchmark dataset for evaluating cross-lingual question answering performance.
190 papers · 1 benchmark
QuAC (Question Answering in Context)
Question Answering in Context is a large-scale dataset that consists of around 14K crowdsourced Question Answering dialogs with 98K question-answer pairs in total.
178 papers · 1 benchmark
NExT-QA is a VideoQA benchmark targeting the explanation of video contents.
174 papers · 3 benchmarks
ATOMIC is an atlas of everyday commonsense reasoning, organized through 877k textual descriptions of inferential knowledge.
170 papers · 0 benchmarks
MLQA (MultiLingual Question Answering)
MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.
167 papers · 1 benchmark
CORD-19 is a free resource of tens of thousands of scholarly articles about COVID-19, SARS-CoV-2, and related coronaviruses for use by the global research community.
163 papers · 1 benchmark
SWAG (Situations With Adversarial Generations)
Given a partial description like "she opened the hood of the car," humans can reason about the situation and anticipate what might come next ("then, she examined the engine").
163 papers · 2 benchmarks
MultiRC (Multi-Sentence Reading Comprehension)
MultiRC (Multi-Sentence Reading Comprehension) is a dataset of short paragraphs and multi-sentence questions, i.e., questions that can be answered by combining information from multiple sentences of the paragraph.
162 papers · 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.