Home › Datasets › task › Binary Classification

Binary Classification datasets

archive 2025-07-28

16 datasets carry the task tag "Binary Classification" (the task itself: Binary Classification), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. 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

Binary Classification datasets 1–16 of 16

WMT 2016 is a collection of datasets used in shared tasks of the First Conference on Machine Translation.
178 papers · 16 benchmarks
TuringBench is a benchmark environment that contains : - Benchmark tasks- Turing Test (i.e., human vs.
18 papers · 2 benchmarks
Adult Census Income (adult_census_income)
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics).
6 papers · 1 benchmark
InspiRe (Inspiring and non-inspiring posts from Reddit)
We analyze social media posts to tease out what makes a post inspiring and what topics are inspiring.
2 papers · 0 benchmarks
The TII-SSRC-23 dataset offers a comprehensive collection of network traffic patterns, meticulously compiled to support the development and research of Intrusion Detection Systems (IDS).
2 papers · 3 benchmarks
Titanic (Titanic - Machine Learning from Disaster)
Titanic Dataset Description Overview The data is divided into two groups: - Training set (train.csv): Used to build machine learning models.
2 papers · 1 benchmark
kickstarter (Funding Successful Projects on Kickstarter)
Kickstarter is a community of more than 10 million people comprising of creative, tech enthusiasts who help in bringing creative project to life.
2 papers · 1 benchmark
The dataset contains sentences from Amazon customer reviews (sampled from Amazon product review dataset) annotated for counterfactual detection (CFD) binary classification.
1 paper · 0 benchmarks
This dataset consists of EEG (Electroencephalogram) recordings collected from students at our college during an educational experiment.
1 paper · 0 benchmarks
TuPyE-Dataset (Portuguese Hate Speech Expanded Dataset)
TuPyE, an enhanced iteration of TuPy, encompasses a compilation of 43,668 meticulously annotated documents specifically selected for the purpose of hate speech detection within diverse social network contexts.
1 paper · 0 benchmarks
The TwinSynths dataset is a novel benchmark designed to overcome common limitations found in earlier synthetic image datasets, such as low image quality, inadequate content preservation, and limited class diversity.
1 paper · 0 benchmarks
fake (Real / Fake Job Posting Prediction)
[Real or Fake] : Fake Job Description Prediction This dataset contains 18K job descriptions out of which about 800 are fake.
1 paper · 1 benchmark
This dataset is comprised of the dynamic analysis reports generated by CAPEv2, from both malware and goodware.
0 papers · 0 benchmarks
EyePACS-light (v1) (EyePACS-AIROGS-light-v1)
This is a machine-learning-ready glaucoma dataset using a balanced subset of standardized fundus images from the Rotterdam EyePACS AIROGS train set.
0 papers · 0 benchmarks
EyePACS-light (v2) (EyePACS-AIROGS-light-v2)
This is an improved machine-learning-ready glaucoma dataset using a balanced subset of standardized fundus images from the Rotterdam EyePACS AIROGS [1] set.
0 papers · 0 benchmarks
SMDG (Standardized Multi-Channel Dataset for Glaucoma)
Standardized Multi-Channel Dataset for Glaucoma (SMDG-19) is a collection and standardization of 19 public datasets, comprised of full-fundus glaucoma images, associated image metadata like, optic disc segmentation, optic cup segmentation,…
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.