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Fairness datasets
archive 2025-07-2823 datasets carry the task tag "Fairness" (the task itself: Fairness), ordered by the archive's paper count. Page 1 of 1: 23 shown of 23. 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 52Fairness 23
Fairness datasets 1–23 of 23
Netflix Prize consists of about 100,000,000 ratings for 17,770 movies given by 480,189 users.
370 papers · 1 benchmark
The UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old).
243 papers · 4 benchmarks
FairFace is a face image dataset which is race balanced.
208 papers · 1 benchmark
MORPH is a facial age estimation dataset, which contains 55,134 facial images of 13,617 subjects ranging from 16 to 77 years old.
180 papers · 8 benchmarks
WinoBias contains 3,160 sentences, split equally for development and test, created by researchers familiar with the project.
134 papers · 0 benchmarks
RFW (Racial Faces in-the-Wild)
To validate the racial bias of four commercial APIs and four state-of-the-art (SOTA) algorithms.
73 papers · 0 benchmarks
GVGAI (General Video Game AI)
The General Video Game AI (GVGAI) framework is widely used in research which features a corpus of over 100 single-player games and 60 two-player games.
36 papers · 0 benchmarks
The HELP dataset is an automatically created natural language inference (NLI) dataset that embodies the combination of lexical and logical inferences focusing on monotonicity (i.e., phrase replacement-based reasoning).
30 papers · 1 benchmark
MIAP (More Inclusive Annotations for People)
MIAP is a dataset created by obtaining a new set of annotations on a subset of the Open Images dataset, containing bounding boxes and attributes for all of the people visible in those images, as the original Open Images dataset annotations…
15 papers · 0 benchmarks
ACS PUMS stands for American Community Survey (ACS) Public Use Microdata Sample (PUMS) and has been used to construct several tabular datasets for studying fairness in machine learning: - ACSIncome: to predict whether an individual’s…
11 papers · 0 benchmarks
A new face annotation dataset with balanced distribution between genders and ethnic origins.
11 papers · 2 benchmarks
BAF (Bank Account Fraud)
Bank Account Fraud (BAF) is a large-scale, realistic suite of tabular datasets.
10 papers · 12 benchmarks
SPEECH-COCO contains speech captions that are generated using text-to-speech (TTS) synthesis resulting in 616,767 spoken captions (more than 600h) paired with images.
9 papers · 0 benchmarks
CI-MNIST (Correlated and Imbalanced MNIST)
CI-MNIST (Correlated and Imbalanced MNIST) is a variant of MNIST dataset with introduced different types of correlations between attributes, dataset features, and an artificial eligibility criterion.
4 papers · 0 benchmarks
This research aimed at the case of customers default payments in Taiwan and compares the predictive accuracy of probability of default among six data mining methods.
3 papers · 0 benchmarks
The Dialogue Fairness dataset is used to evaluate and understand fairness in dialogue models, focusing on gender and racial biases.
2 papers · 0 benchmarks
ImDrug is a comprehensive benchmark with an open-source Python library which consists of 4 imbalance settings, 11 AI-ready datasets, 54 learning tasks and 16 baseline algorithms tailored for imbalanced learning.
2 papers · 0 benchmarks
KANFace (KANFace Dataset)
KANFace consists of 40K still images and 44K sequences (14.5M video frames in total) captured in unconstrained, real-world conditions from 1,045 subjects.
2 papers · 1 benchmark
TwinViews-13k is a dataset of 13,855 pairs of left-leaning and right-leaning political statements, each pair matched by topic.
2 papers · 0 benchmarks
A Racial Fairness Benchmark Dataset for Face Forgery Detection.
1 paper · 0 benchmarks
ICLR Database (ICLR Database (with Textual Covariates))
A maintained database tracks ICLR submissions and reviews, augmented with author profiles and higher-level textual features.
1 paper · 0 benchmarks
ec-darkpattern is a dataset for dark pattern detection and prepared its baseline detection performance with state-of-the-art machine learning methods.
1 paper · 0 benchmarks
fNIRS2MW (The Tufts fNIRS to Mental Workload Dataset)
The Tufts fNIRS to Mental Workload (fNIRS2MW) open-access dataset is a new dataset for building machine learning classifiers that can consume a short window (30 seconds) of multivariate fNIRS recordings and predict the mental workload…
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.