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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 3 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 97–144 of 413
Quora Question Pairs (QQP) dataset consists of over 400,000 question pairs, and each question pair is annotated with a binary value indicating whether the two questions are paraphrase of each other.
55 papers · 8 benchmarks
ReVerb Challenge (REverberant Voice Enhancement and Recognition Benchmark)
The REVERB (REverberant Voice Enhancement and Recognition Benchmark) challenge is a benchmark for evaluation of automatic speech recognition techniques.
55 papers · 1 benchmark
The Bamboogle dataset is a collection of questions that was constructed to investigate the ability of language models to perform compositional reasoning tasks.
54 papers · 1 benchmark
DAQUAR (DAtaset for QUestion Answering on Real-world images) is a dataset of human question answer pairs about images.
54 papers · 0 benchmarks
DRCD (Delta Reading Comprehension Dataset)
Delta Reading Comprehension Dataset (DRCD) is an open domain traditional Chinese machine reading comprehension (MRC) dataset.
53 papers · 0 benchmarks
The large-scale MUSIC-AVQA dataset of musical performance contains 45,867 question-answer pairs, distributed in 9,288 videos for over 150 hours.
51 papers · 1 benchmark
QReCC contains 14K conversations with 81K question-answer pairs.
51 papers · 0 benchmarks
Representation and learning of commonsense knowledge is one of the foundational problems in the quest to enable deep language understanding.
51 papers · 1 benchmark
TGIF (Tumblr GIF)
The Tumblr GIF (TGIF) dataset contains 100K animated GIFs and 120K sentences describing visual content of the animated GIFs.
51 papers · 1 benchmark
TOFU (Task of Fictitious Unlearning)
The TOFU dataset serves as a benchmark for evaluating unlearning performance of large language models on realistic tasks.
51 papers · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
50 papers · 1 benchmark
PlotQA is a VQA dataset with 28.9 million question-answer pairs grounded over 224,377 plots on data from real-world sources and questions based on crowd-sourced question templates.
50 papers · 5 benchmarks
emrQA has 1 million question-logical form and 400,000+ questionanswer evidence pairs.
50 papers · 0 benchmarks
DVQA (Data Visualizations via Question Answering)
DVQA is a synthetic question-answering dataset on images of bar-charts.
49 papers · 1 benchmark
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
CoS-E (Commonsense Explanations Dataset)
CoS-E consists of human explanations for commonsense reasoning in the form of natural language sequences and highlighted annotations Source: Explain Yourself!
46 papers · 0 benchmarks
GeoQA (Geometric Question Answering)
GeoQA is a dataset for automatic geometric problem solving containing 5,010 geometric problems with corresponding annotated programs, which illustrate the solving process of the given problems Compared with another publicly available…
46 papers · 1 benchmark
DART is a large dataset for open-domain structured data record to text generation.
45 papers · 3 benchmarks
A new large-scale geometry problem-solving dataset - 3,002 multi-choice geometry problems - dense annotations in formal language for the diagrams and text - 27,213 annotated diagram logic forms (literals) - 6,293 annotated text logic forms…
45 papers · 1 benchmark
ShARC (Shaping Answers with Rules through Conversation)
ShARC is a Conversational Question Answering dataset focussing on question answering from texts containing rules.
43 papers · 0 benchmarks
DuoRC contains 186,089 unique question-answer pairs created from a collection of 7680 pairs of movie plots where each pair in the collection reflects two versions of the same movie.
42 papers · 1 benchmark
SCROLLS (Standardized CompaRison Over Long Language Sequences)
SCROLLS (Standardized CompaRison Over Long Language Sequences) is an NLP benchmark consisting of a suite of tasks that require reasoning over long texts.
42 papers · 1 benchmark
BLURB (Biomedical Language Understanding and Reasoning Benchmark)
BLURB is a collection of resources for biomedical natural language processing.
40 papers · 2 benchmarks
Contains around 200K dialogs with a total of 1.6M turns.
40 papers · 0 benchmarks
We propose the first question-answering dataset driven by STEM theorems.
40 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
ConvFinQA (Conversational Finance Question Answering)
ConvFinQA is a dataset designed to study the chain of numerical reasoning in conversational question answering.
38 papers · 2 benchmarks
InsuranceQA is a question answering dataset for the insurance domain, the data stemming from the website Insurance Library.
38 papers · 0 benchmarks
TyDiQA is the gold passage version of the Typologically Diverse Question Answering (TyDiWA) dataset, a benchmark for information-seeking question answering, which covers nine languages.
38 papers · 1 benchmark
Doc2Dial (Doc2Dial: Document-grounded Dialogue)
For goal-oriented document-grounded dialogs, it often involves complex contexts for identifying the most relevant information, which requires better understanding of the inter-relations between conversations and documents.
36 papers · 0 benchmarks
The MSLR-WEB10K dataset consists of 10,000 search queries over the documents from search results.
36 papers · 0 benchmarks
The Open Table-and-Text Question Answering (OTT-QA) dataset contains open questions which require retrieving tables and text from the web to answer.
36 papers · 1 benchmark
VisualMRC (VisualMRC: Machine Reading Comprehension on Document Images)
VisualMRC is a visual machine reading comprehension dataset that proposes a task: given a question and a document image, a model produces an abstractive answer.
36 papers · 1 benchmark
MeQSum is a dataset for medical question summarization.
33 papers · 1 benchmark
SCIREX is a document level IE dataset that encompasses multiple IE tasks, including salient entity identification and document level N-ary relation identification from scientific articles.
33 papers · 2 benchmarks
Worldtree is a corpus of explanation graphs, explanatory role ratings, and associated tablestore.
32 papers · 0 benchmarks
The Image Paragraph Captioning dataset allows researchers to benchmark their progress in generating paragraphs that tell a story about an image.
31 papers · 1 benchmark
QuaRTz (QuaRTz Dataset)
QuaRTz is a crowdsourced dataset of 3864 multiple-choice questions about open domain qualitative relationships.
30 papers · 0 benchmarks
CODAH (COmmonsense Dataset Adversarially-authored by Humans)
The COmmonsense Dataset Adversarially-authored by Humans (CODAH) is an evaluation set for commonsense question-answering in the sentence completion style of SWAG.
29 papers · 2 benchmarks
A machine reading comprehension (MRC) dataset with discourse structure built over multiparty dialog.
29 papers · 2 benchmarks
KaggleDBQA (KaggleDBQA: Realistic Text-to-SQL dataset)
KaggleDBQA is a challenging cross-domain and complex evaluation dataset of real Web databases, with domain-specific data types, original formatting, and unrestricted questions.
28 papers · 1 benchmark
decaNLP (Natural Language Decathlon Benchmark)
Natural Language Decathlon Benchmark (decaNLP) is a challenge that spans ten tasks: question answering, machine translation, summarization, natural language inference, sentiment analysis, semantic role labeling, zero-shot relation…
28 papers · 0 benchmarks
CaseHOLD (Case Holdings On Legal Decisions)
CaseHOLD (Case Holdings On Legal Decisions) is a law dataset comprised of over 53,000+ multiple choice questions to identify the relevant holding of a cited case.
27 papers · 2 benchmarks
VQA-HAT (VQA Human Attention)
VQA-HAT (Human ATtention) is a dataset to evaluate the informative regions of an image depending on the question being asked about it.
27 papers · 0 benchmarks
We have created three new Reading Comprehension datasets constructed using an adversarial model-in-the-loop.
26 papers · 2 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.