Artificial intelligence (AI) based automated epilepsy diagnosis has aimed to ease the burden of manual detection, prediction, and management of seizure and epilepsy-specific EEG signals for medical specialists. With increasing open-source, raw and large EEG databases, there is a need for data standardization of patient and seizure sensitive AI analysis with reduced redundant information. This work releases a balanced, annotated, fixed time and length meta-data of Siena Scalp EEG database v1.0.0. The work releases patient inter-specific and patient non-specific EEG data extracted using specific time stamps of ictal, pre-ictal, post-ictal and peri-ictal EEG provided in the original database (annotations). Further details of this metadata can be found in the provided csv file (Siena DB timestamp.csv). The released EEG data is available in csv format and class labels are provided in the last row of the csv files. PN00-3 has not been included in this database. Latest update: The dataset has been moved to: Data of Meta-EEGs Please only download and cite the latest version!