Home › Datasets › task › Question Generation
Question Generation datasets
archive 2025-07-2825 datasets carry the task tag "Question Generation" (the task itself: Question Generation), ordered by the archive's paper count. Page 1 of 1: 25 shown of 25. 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 52Question Generation 25
Question Generation datasets 1–25 of 25
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 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
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
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
The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others.
183 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
VQG (Visual Question Generation)
VQG is a collection of datasets for visual question generation.
80 papers · 1 benchmark
A new large-scale question-answering dataset that requires reasoning on heterogeneous information.
70 papers · 1 benchmark
GrailQA (Strongly Generalizable Question Answering)
GrailQA is a new large-scale, high-quality dataset for question answering on knowledge bases (KBQA) on Freebase with 64,331 questions annotated with both answers and corresponding logical forms in different syntax (i.e., SPARQL,…
34 papers · 4 benchmarks
FairytaleQA is a dataset focusing on narrative comprehension of kindergarten to eighth-grade students.
26 papers · 2 benchmarks
ROPES (Reasoning Over Paragraph Effects in Situations)
ROPES is a QA dataset which tests a system's ability to apply knowledge from a passage of text to a new situation.
24 papers · 0 benchmarks
MMD (Multimodal Dialogs)
The MMD (MultiModal Dialogs) dataset is a dataset for multimodal domain-aware conversations.
18 papers · 0 benchmarks
FreebaseQA is a data set for open-domain QA over the Freebase knowledge graph.
17 papers · 0 benchmarks
A dataset of ~19K questions that are elicited while a person is reading through a document.
13 papers · 0 benchmarks
GLGE (General Language Generation Evaluation)
GLGE is a general language generation evaluation benchmark which is composed of 8 language generation tasks, including Abstractive Text Summarization (CNN/DailyMail, Gigaword, XSUM, MSNews), Answer-aware Question Generation (SQuAD 1.1,…
12 papers · 0 benchmarks
The question-answer (QA) pairs are automatically generated using state-of-the-art question generation methods based on paintings and comments provided in an existing art understanding dataset.
9 papers · 0 benchmarks
ARID (Autonomous Robot Indoor Dataset)
ARID is a large-scale, multi-view object dataset collected with an RGB-D camera mounted on a mobile robot.
5 papers · 0 benchmarks
DiSCQ (Discharge Summary Clinical Questions)
DiSCQ is a newly curated question dataset composed of 2,000+ questions paired with the snippets of text (triggers) that prompted each question.
4 papers · 0 benchmarks
ClarQ, consists of ∼2M examples distributed across 173 domains of stackexchange.
3 papers · 0 benchmarks
TextBox 2.0 is a comprehensive and unified library for text generation, focusing on the use of pre-trained language models (PLMs).
3 papers · 0 benchmarks
Dataset Description The dataset described in the provided text is focused on social media polls collected from Weibo, a popular Chinese microblogging platform.
3 papers · 3 benchmarks
30MQA (30M Factoid Question-Answer Corpus)
An enormous question answer pair corpus produced by applying a novel neural network architecture on the knowledge base Freebase to transduce facts into natural language questions.
2 papers · 0 benchmarks
IDK-MRC is an Indonesian Machine Reading Comprehension (MRC) dataset consists of more than 10K questions in total with over 5K unanswerable questions with diverse question types.
1 paper · 0 benchmarks
The goal of InfoLossQA is to generate a series of QA pairs that reveal to lay readers what information a simplified text lacks compared to its original.
1 paper · 0 benchmarks
diaforge-utc-r-0725 (DiaFORGE UTC: Unified Tool-Calling Conversations Dataset)
Dataset for our paper Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky which includes 5000 enterprise tools and the corresponding dialogues generated using DiaFORGE UTC data engine.
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.