If you want to store your data somewhere permanent for reference, you can upload it and place a link here.


DEFT is an inductive transfer system for improving rule evaluation from limited training examples. It was developed by Mark Reid as part of his Ph.D. dissertation "DEFT Guessing: Using Inductive Transfer to Improve Rule Evaluation from Limited Data".

The system and datasets described in that thesis can be found here.