1. Daily Demand Forecasting Orders: The dataset was collected during 60 days, this is a real database of a brazilian logistics company.
2. Discrete Tone Image Dataset: Discrete Tone Images(DTI)are available which needs to be analyzed in detail. Here, we created this dataset for those who do research in DTI.
3. Labor Relations: From Collective Bargaining Review
4. Lung Cancer: Lung cancer data; no attribute definitions
5. 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.
6. Soybean (Small): Michalski's famous soybean disease database
7. Sponge: Data on sponges; Attributes in spanish
8. Trains: 2 data formats (structured, one-instance-per-line)