This chapter provides a comprehensive analysis of various EEG datasets, which can be used for epilepsy prediction, including Melbourne, CHB-MIT, American Epilepsy Society, Bonn, and European Epilepsy. All are public and free to access, except for the European Epilepsy dataset, which is the largest. To the best of the authors’ knowledge, this is the first work that analyzes and compares the most popular datasets used for epilepsy prediction. The analyzed parameters include the number of patients, number and types of electrodes used for recording, sampling rate, recording time for each patient, and general artifacts in the datasets. Besides, chapter compares the performance of various machine learning models that use these datasets for epileptic seizure prediction.