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UC Irvine Machine Learning Repository
The UC Irvine Machine Learning Repository helps visitors discover machine learning datasets.

About UC Irvine Machine Learning Repository
The UC Irvine Machine Learning Repository is a web-based collection of datasets for machine learning work. Its homepage states that it maintains 689 datasets as a service to the machine learning community. Visitors can view the datasets, contribute a dataset, and donate datasets. Listings show task labels such as classification, regression, and clustering, along with instance and feature counts.
The homepage does not state licensing terms, usage restrictions, or geographic limits, and it does not list pricing. Feature counts are not available for every dataset: several listings, including an image benchmark and a heart and lung sound dataset, show 0 features.
Key features
- Access to 689 maintained machine learning datasets, according to the homepage
- Dataset listings labelled by task, such as classification, regression, or clustering
- Instance and feature counts shown for each listed dataset
- Option to contribute a dataset to the repository
- Option to donate datasets, as stated on the homepage
- New Datasets section highlighting recently added datasets
- Dataset listings show instance and feature counts, which helps when comparing options
- Descriptions name original sources, such as the Cortez et al. (2009) citation for the wine quality data
- Listed datasets cover varied subject areas, including health, banking, and agriculture
- Several listings show 0 features, so feature counts are not available for every dataset
- The homepage does not state licensing or usage terms for the datasets
UC Irvine Machine Learning Repository at a glance
- Official website
- archive.ics.uci.edu/ml
- Category
- Research & Data › Open Data & Datasets
- Type
- Dataset
- Platforms
- Web
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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UC Irvine Machine Learning Repository FAQ
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