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Machine Reading Comprehension datasets
archive 2025-07-2843 datasets carry the task tag "Machine Reading Comprehension" (the task itself: Machine Reading Comprehension), ordered by the archive's paper count. Page 1 of 1: 43 shown of 43. 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 52Machine Reading Comprehension 43
Machine Reading Comprehension datasets 1–43 of 43
LogiQA consists of 8,678 QA instances, covering multiple types of deductive reasoning.
127 papers · 1 benchmark
The MRQA (Machine Reading for Question Answering) dataset is a dataset for evaluating the generalization capabilities of reading comprehension systems.
116 papers · 1 benchmark
MCTest is a freely available set of stories and associated questions intended for research on the machine comprehension of text.
114 papers · 2 benchmarks
CBT (Children’s Book Test)
Children’s Book Test (CBT) is designed to measure directly how well language models can exploit wider linguistic context.
92 papers · 1 benchmark
Logical reasoning is an important ability to examine, analyze, and critically evaluate arguments as they occur in ordinary language as the definition from Law School Admission Council.
88 papers · 4 benchmarks
CMRC (Chinese Machine Reading Comprehension)
CMRC is a dataset is annotated by human experts with near 20,000 questions as well as a challenging set which is composed of the questions that need reasoning over multiple clues.
69 papers · 0 benchmarks
Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants.
68 papers · 0 benchmarks
DREAM is a multiple-choice Dialogue-based REAding comprehension exaMination dataset.
68 papers · 2 benchmarks
MuTual is a retrieval-based dataset for multi-turn dialogue reasoning, which is modified from Chinese high school English listening comprehension test data.
55 papers · 0 benchmarks
C3 is a free-form multiple-Choice Chinese machine reading Comprehension dataset.
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
Quoref is a QA dataset which tests the coreferential reasoning capability of reading comprehension systems.
50 papers · 0 benchmarks
CMRC 2018 (Chinese Machine Reading Comprehension 2018)
CMRC 2018 is a dataset for Chinese Machine Reading Comprehension.
49 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
ChID (Chinese IDiom dataset)
ChID is a large-scale Chinese IDiom dataset for cloze test.
38 papers · 0 benchmarks
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
Holl-E is a dataset containing movie chats wherein each response is explicitly generated by copying and/or modifying sentences from unstructured background knowledge such as plots, comments and reviews about the movie.
30 papers · 0 benchmarks
A machine reading comprehension (MRC) dataset with discourse structure built over multiparty dialog.
29 papers · 2 benchmarks
We have created three new Reading Comprehension datasets constructed using an adversarial model-in-the-loop.
26 papers · 2 benchmarks
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language understanding capability of Korean language models.
21 papers · 1 benchmark
With social media becoming increasingly popular on which lots of news and real-time events are reported, developing automated question answering systems is critical to the effectiveness of many applications that rely on real-time knowledge.
19 papers · 1 benchmark
A new dataset for the low-resource language as Vietnamese to evaluate MRC models.
15 papers · 0 benchmarks
A large-scale cloze-style biomedical MRC dataset.
13 papers · 1 benchmark
Who-did-What (Who did What)
Who-did-What collects its corpus from news and provides options for questions similar to CBT.
13 papers · 0 benchmarks
CMRC 2017 (Chinese Machine Reading Comprehension 2017)
Contains two different types: cloze-style reading comprehension and user query reading comprehension, associated with large-scale training data as well as human-annotated validation and hidden test set.
11 papers · 0 benchmarks
A human-curated ChineseReading Comprehension dataset on Opinion.
9 papers · 0 benchmarks
CMRC 2019 (Chinese Machine Reading Comprehension 2019)
CMRC 2019 is a Chinese Machine Reading Comprehension dataset that was used in The Third Evaluation Workshop on Chinese Machine Reading Comprehension.
8 papers · 0 benchmarks
BiPaR is a manually annotated bilingual parallel novel-style machine reading comprehension (MRC) dataset, developed to support monolingual, multilingual and cross-lingual reading comprehension on novels.
6 papers · 0 benchmarks
MuSeRC (Russian Multi-Sentence Reading Comprehension)
We present a reading comprehension challenge in which questions can only be answered by taking into account information from multiple sentences.
6 papers · 1 benchmark
OneStopQA provides an alternative test set for reading comprehension which alleviates these shortcomings and has a substantially higher human ceiling performance.
5 papers · 0 benchmarks
RuCoS (Russian Reading Comprehension with Commonsense Reasoning)
Russian reading comprehension with Commonsense reasoning (RuCoS) is a large-scale reading comprehension dataset that requires commonsense reasoning.
5 papers · 1 benchmark
UIT-ViNewsQA is a new corpus for the Vietnamese language to evaluate healthcare reading comprehension models.
5 papers · 0 benchmarks
ViMMRC (Vietnamese Multiple-choice Machine Reading Comprehension Corpus)
A challenging machine comprehension corpus with multiple-choice questions, intended for research on the machine comprehension of Vietnamese text.
4 papers · 0 benchmarks
The UIT-ViWikiQA is a dataset for evaluating sentence extraction-based machine reading comprehension in the Vietnamese language.
3 papers · 0 benchmarks
ExpMRC is a benchmark for the Explainability evaluation of Machine Reading Comprehension.
2 papers · 0 benchmarks
A dataset of around 2 million examples for machine reading-comprehension.
2 papers · 0 benchmarks
MAUD is an expert-annotated merger agreement reading comprehension dataset based on the American Bar Association's 2021 Public Target Deal Points study, where lawyers and law students answered 92 questions about 152 merger agreements.
2 papers · 0 benchmarks
UQuAD (Urdu Question Answering Dataset)
Large scale machine reading comprehension dataset in Urdu language.
2 papers · 1 benchmark
A newly developed public dataset and the task of multiple property extraction.
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
NEREL-BIO is an annotation scheme and corpus of PubMed abstracts in Russian and English.
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
A high-quality large-scale dataset consisting of 49,000+ data samples for the task of Chinese query-based document summarization.
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.