Home › Datasets › task › Multi-Label Classification
Multi-Label Classification datasets
archive 2025-07-2830 datasets carry the task tag "Multi-Label Classification" (the task itself: Multi-Label Classification), ordered by the archive's paper count. Page 1 of 1: 30 shown of 30. 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 52Multi-Label Classification 30
Multi-Label Classification datasets 1–30 of 30
The COCO (Common Objects in Context) dataset is a large-scale object detection, segmentation, and captioning dataset.
11,922 papers · 77 benchmarks
The CheXpert dataset contains 224,316 chest radiographs of 65,240 patients with both frontal and lateral views available.
628 papers · 3 benchmarks
The NUS-WIDE dataset contains 269,648 images with a total of 5,018 tags collected from Flickr.
348 papers · 3 benchmarks
MIMIC-CXR from Massachusetts Institute of Technology presents 371,920 chest X-rays associated with 227,943 imaging studies from 65,079 patients.
240 papers · 3 benchmarks
ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text…
237 papers · 6 benchmarks
PASCAL VOC 2007 is a dataset for image recognition.
126 papers · 13 benchmarks
ECHR is an English legal judgment prediction dataset of cases from the European Court of Human Rights (ECHR).
47 papers · 1 benchmark
The friedman1 data set is commonly used to test semi-supervised regression methods.
31 papers · 0 benchmarks
The MRNet dataset consists of 1,370 knee MRI exams performed at Stanford University Medical Center.
29 papers · 1 benchmark
OpenImages V6 is a large-scale dataset , consists of 9 million training images, 41,620 validation samples, and 125,456 test samples.
23 papers · 2 benchmarks
Our goal is to improve upon the status quo for designing image classification models trained in one domain that perform well on images from another domain.
22 papers · 3 benchmarks
CAL500 (Computer Audition Lab 500)
CAL500 (Computer Audition Lab 500) is a dataset aimed for evaluation of music information retrieval systems.
21 papers · 0 benchmarks
EXTREME CLASSIFICATION (Extreme Multi-label Classification)
The objective in extreme multi-label classification is to learn feature architectures and classifiers that can automatically tag a data point with the most relevant subset of labels from an extremely large label set.
18 papers · 0 benchmarks
LSHTC is a dataset for large-scale text classification.
18 papers · 0 benchmarks
MLRSNet is a a multi-label high spatial resolution remote sensing dataset for semantic scene understanding.
17 papers · 2 benchmarks
Arxiv ASTRO-PH (Astro Physics) collaboration network is from the e-print arXiv and covers scientific collaborations between authors papers submitted to Astro Physics category.
10 papers · 0 benchmarks
Moviescope is a large-scale dataset of 5,000 movies with corresponding video trailers, posters, plots and metadata.
6 papers · 0 benchmarks
CHiME-Home is a dataset for sound source recognition in a domestic environment.
5 papers · 0 benchmarks
Sewer-ML is a sewer defect dataset.
5 papers · 0 benchmarks
For each dataset we provide a short description as well as some characterization metrics.
4 papers · 0 benchmarks
Aims to help V-NLIs recognize analytic tasks from free-form natural language by training and evaluating cutting-edge multi-label classification models.
4 papers · 0 benchmarks
This dataset contains Bangla handwritten numerals, basic characters and compound characters.
3 papers · 2 benchmarks
CAVES (A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines)
CAVES is the first large-scale dataset containing about 10k COVID-19 anti-vaccine tweets labelled into various specific anti-vaccine concerns in a multi-label setting.
2 papers · 0 benchmarks
The dataset consists of titles and abstracts from NLP-related papers.
2 papers · 0 benchmarks
This data is for the Mis2-KDD 2021 under review paper: Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People’s Republic of China We present our dataset that focuses on propaganda techniques in Mandarin…
1 paper · 1 benchmark
MTC is a financial-domain dataset of the multi-label topic classification task.
1 paper · 0 benchmarks
ScienceExamCER is a collection of resources for studying explanation-centered inference, including explanation graphs for 1,680 questions, with 4,950 tablestore rows, and other analyses of the knowledge required to answer elementary and…
1 paper · 0 benchmarks
Trailers12k is a movie trailer dataset comprised of 12,000 titles associated to ten genres.
1 paper · 0 benchmarks
arXiv Categories (arXiv Categories Multi-label Text Classification Dataset)
This is a dataset of scientific documents derived from arXiv.
1 paper · 0 benchmarks
The KIT Whole-Body Human Motion Database is a large-scale dataset of whole-body human motion with methods and tools, which allows a unifying representation of captured human motion, and efficient search in the database, as well as the…
0 papers · 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.