1. Opinosis Opinion ⁄ Review: This dataset contains sentences extracted from user reviews on a given topic. Example topics are “performance of Toyota Camry” and “sound quality of ipod nano”.
2. Balloons: Data previously used in cognitive psychology experiment; 4 data sets represent different conditions of an experiment
3. Lenses: Database for fitting contact lenses
4. Challenger USA Space Shuttle O-Ring: Task: predict the number of O-rings that experience thermal distress on a flight at 31 degrees F given data on the previous 23 shuttle flights
5. Shuttle Landing Control: Tiny database; all nominal values
6. StoneFlakes: Stone flakes are waste products of the stone tool production in
the prehistoric era. The variables are means of geometric and
stylistic features of the flakes contained in different inventories.
7. Post-Operative Patient: Dataset of patient features
8. Labor Relations: From Collective Bargaining Review
9. Trains: 2 data formats (structured, one-instance-per-line)
10. Predict keywords activities in a online social media: The data from Twitter was collected during 360 consecutive days. It was done by querying 1497 English keywords sampled from Wikipedia. This dataset is proposed in a Learning to rank setting.
11. Soybean (Small): Michalski's famous soybean disease database
12. Sponge: Data on sponges; Attributes in spanish
13. Lung Cancer: Lung cancer data; no attribute definitions
14. DBWorld e-mails: It contains 64 e-mails which I have manually collected from DBWorld mailing list. They are classified in: 'announces of conferences' and 'everything else'.