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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 8 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 337–384 of 413
TempQA-WD is a benchmark dataset for temporal reasoning designed to encourage research in extending the present approaches to target a more challenging set of complex reasoning tasks.
2 papers · 1 benchmark
VQA 360° is a dataset for visual question answering on 360° images containing around 17,000 real-world image-question-answer triplets for a variety of question types.
2 papers · 0 benchmarks
Visual Beliefs is a dataset of abstract scenes to study visual beliefs.
2 papers · 0 benchmarks
VizWiz-Priv (Visual Privacy dataset)
VizWiz-Priv includes 8,862 regions showing private content across 5,537 images taken by blind people.
2 papers · 0 benchmarks
A large-scale dataset that links the assessment of image quality issues to two practical vision tasks: image captioning and visual question answering.
2 papers · 0 benchmarks
X-WikiRE is a new, large-scale multilingual relation extraction dataset in which relation extraction is framed as a problem of reading comprehension to allow for generalization to unseen relations.
2 papers · 0 benchmarks
Given a question and passage in an Indic language, generate a short answer span from the passage as the answer.
2 papers · 0 benchmarks
Given a question in an Indic language and a passage in English, generate a short answer span.
2 papers · 0 benchmarks
A benchmark environment based on the datasets "Adult" and "Names", which allows researchers to test how well their language model can abide by pre-defined access rights rules.
1 paper · 0 benchmarks
ACCORD CSQA is an extension of the popular CommonsenseQA (CSQA) dataset using ACCORD, a scalable framework for disentangling the commonsense grounding and reasoning abilities of large language models (LLMs) through controlled, multi-hop…
1 paper · 0 benchmarks
AviationQA is introduced in the paper titled- There is No Big Brother or Small Brother: Knowledge Infusion in Language Models for Link Prediction and Question Answering The paper is accepted in the main conference of ICON 2022.
1 paper · 1 benchmark
BDD-QA is distinguished by its encompassing range of traffic actions, crafted to rigorously evaluate a model's decision-making abilities in traffic scenario.
1 paper · 0 benchmarks
CC-Riddle (Chinese Character Riddle)
CC-Riddle is a Chinese character riddle dataset covering the majority of common simplified Chinese characters by crawling riddles from the Web and generating brand new ones.
1 paper · 0 benchmarks
The COPA-HR dataset (Choice of plausible alternatives in Croatian) is a translation of the English COPA dataset by following the XCOPA dataset translation methodology.
1 paper · 0 benchmarks
CRSB (Context Retrieval Supervision Benchmark)
The Official dataset proposed int the paper Context Awareness Gate For Retrieval Augmented Generation
1 paper · 0 benchmarks
CUHK-QA is a dataset for natural language-based person search using iterative questioning.
1 paper · 0 benchmarks
The dataset covers Hindi and Tamil, collected without the use of translation.
1 paper · 1 benchmark
ChiQA (Chinese VQA)
ChiQA is a dataset designed for visual question answering tasks that not only measures the relatedness but also measures the answerability, which demands more fine-grained vision and language reasoning.
1 paper · 0 benchmarks
CompMix-IR Dataset Overview: Characteristics: CompMix-IR is a heterogeneous knowledge retrieval benchmark dataset, featuring four knowledge types (text, knowledge graphs, tables, and infoboxes), 9,400+ QA pairs, and a corpus of 10 million…
1 paper · 0 benchmarks
CoreSearch is a dataset for Cross-Document Event Coreference Search.
1 paper · 0 benchmarks
Dialog-based Language Learning dataset is designed to measure how well models can perform at learning as a student given a teacher’s textual responses to the student’s answer (as well as potentially receiving an external real-valued reward…
1 paper · 0 benchmarks
As Large Language Models (LLMs) increasingly participate in human-AI interactions, evaluating their Theory of Mind (ToM) capabilities - particularly their ability to track dynamic mental states - becomes crucial.
1 paper · 0 benchmarks
EpiK-Eval (Epistemic Knowledge Evaluation)
Benchmark to evaluate the capability of LMs to consolidate and recall information from multiple training documents.
1 paper · 0 benchmarks
Contains 1000 semantic queries and the corresponding English, German and Portuguese verbalizations for EventKG - an event-centric knowledge graph with more than 970 thousand events.
1 paper · 0 benchmarks
Financial Language Understanding Evaluation is an open-source comprehensive suite of benchmarks for the financial domain.
1 paper · 0 benchmarks
GeoQuestions1089 is a crowdsourced geospatial question-answering dataset that targets the Knowledge Graph YAGO2geo.
1 paper · 1 benchmark
A collection of test sets for evaluating base and chat LLMs (incl.
1 paper · 0 benchmarks
MF3QA (Medical Free Form Farsi Question Answering dataset)
real-world doctor-patient question- answering dataset cleaned manually and automatically
1 paper · 0 benchmarks
MF3QA_uncleaned (Medical Free Form Farsi Question Answering dataset (uncleaned))
real-world doctor-patient question- answering dataset
1 paper · 0 benchmarks
MILU (Multi-task Indic Language Understanding Benchmark)
Overview MILU (Multi-task Indic Language Understanding Benchmark) is a comprehensive evaluation dataset designed to assess the performance of Large Language Models (LLMs) across 11 Indic languages.
1 paper · 0 benchmarks
MLQuestions is a domain-adaptation dataset for the machine learning domain containing 50K unaligned passages and 35K unaligned questions, and 3K aligned passage and question pairs.
1 paper · 0 benchmarks
MMInstruct-GPT4V (MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity)
Vision-language supervised fine-tuning effectively enhances VLLM performance, but existing visual instruction tuning datasets have limitations: 1.
1 paper · 0 benchmarks
1 paper · 0 benchmarks
1 paper · 1 benchmark
MapEval-Textual contains 300 context-question-answer triplets.
1 paper · 1 benchmark
pymatgencodeqa benchmark: qabenchmark/generatedqa/generationresultscode.json, which consists of 34,621 QA pairs.
1 paper · 0 benchmarks
A comprehensive Turkish dataset for question-answering tasks in medical domain
1 paper · 1 benchmark
NText is an eight million words dataset extracted and preprocessed from nuclear research papers and thesis.
1 paper · 0 benchmarks
1 paper · 0 benchmarks
A preliminary dataset of related tables and a corresponding set of natural language questions.
1 paper · 0 benchmarks
PQ-decaNLP (Paraphrase Questions - decaNLP)
Multitask learning has led to significant advances in Natural Language Processing, including the decaNLP benchmark where question answering is used to frame 10 natural language understanding tasks in a single model.
1 paper · 0 benchmarks
PQAref (Pubmed Question Answering with references)
The PQAref dataset is a dataset for fine-tuning large language models for referenced question-answering in biomedical domain.
1 paper · 0 benchmarks
Pentachromatic Cultural Palette Dataset is characterized by unique cultural semantics and values.
1 paper · 0 benchmarks
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
PersianQA (Persian Question Answering Dataset)
PersianQA: a dataset for Persian Question Answering Persian Question Answering (PersianQA) Dataset is a reading comprehension dataset on Persian Wikipedia.
1 paper · 0 benchmarks
Phrase in Context is a curated benchmark for phrase understanding and semantic search, consisting of three tasks of increasing difficulty: Phrase Similarity (PS), Phrase Retrieval (PR) and Phrase Sense Disambiguation (PSD).
1 paper · 0 benchmarks
1 paper · 0 benchmarks
Pirá (Pirá: A Bilingual Portuguese-English Dataset for Question-Answering about the Ocean)
A large set of questions and answers about the ocean and the Brazilian coast both in Portuguese and English.
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.