1. Adult: Predict whether income exceeds $50K/yr based on census data. Also known as "Census Income" dataset.
2. Speaker Accent Recognition: Data set featuring single English words read by speakers from six different countries for accent detection and recognition
3. Balance Scale: Balance scale weight & distance database
4. Balloons: Data previously used in cognitive psychology experiment; 4 data sets represent different conditions of an experiment
5. Facebook Large Page-Page Network: This webgraph is a page-page graph of verified Facebook sites. Nodes represent official Facebook pages while the links are mutual likes between sites.
6. Census Income: Predict whether income exceeds $50K/yr based on census data. Also known as "Adult" dataset.
7. Hayes-Roth: Topic: human subjects study
8. Student Performance: Predict student performance in secondary education (high school).
9. Nursery: Nursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools.
10. LastFM Asia Social Network: A social network of LastFM users from Asian countries. The related task is predicting the country of origin based on social relations and artists liked.
11. LastFM Asia Social Network: A social network of LastFM users which was collected from the public API in March 2020.
12. Congressional Voting Records: 1984 United Stated Congressional Voting Records; Classify as Republican or Democrat
13. Census-Income (KDD): This data set contains weighted census data extracted from the 1994 and 1995 current population surveys conducted by the U.S. Census Bureau.
14. Drug consumption (quantified): Classify type of drug consumer by personality data
15. A study of Asian Religious and Biblical Texts: Mainly from Project Gutenberg, we combine Upanishads, Yoga Sutras, Buddha Sutras, Tao Te Ching and Book of Wisdom, Book of Proverbs, Book of Ecclesiastes and Book of Ecclesiasticus
16. Wisesight Sentiment Corpus: Social media messages in Thai language with sentiment label (positive, neutral, negative, question).
17. Sports articles for objectivity analysis: 1000 sports articles were labeled using Amazon Mechanical Turk as objective or subjective. The raw texts, extracted features, and the URLs from which the articles were retrieved are provided.
18. Gender by Name: This dataset attributes first names to genders, giving counts and probabilities. It combines open-source government data from the US, UK, Canada, and Australia.