1. University: Data in original (LISP-readable) form 2. Thyroid Disease: 10 separate databases from Garavan Institute 3. Mobile Robots: Learning concepts from sensor data of a mobile robot; set of data sets 4. Mechanical Analysis: Fault diagnosis problem of electromechanical devices; also PUMPS DATA SET is newer version with domain theory and results 5. Labor Relations: From Collective Bargaining Review 6. Japanese Credit Screening: Includes domain theory (generated by talking to Japanese domain experts); data in Lisp 7. Heart Disease: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach 8. Diabetes: This diabetes dataset is from AIM '94 9. Bach Chorales: Time-series data based on chorales; challenge is to learn generative grammar; data in Lisp 10. Artificial Characters: Dataset artificially generated by using first order theory which describes structure of ten capital letters of English alphabet |