The study addresses the lack of African population representation in EEG datasets and attempts to rectify this issue through the creation of The African Schizophrenia EEG Dataset, or ASZED-153. Data was collected using GENERIS software. GENERIS controlled the EEG recording instruments and converted data to EDFs. Two procedures were used to acquire data. The first was made of four phases: two simulated sleep phases, an arithmetic task, and a random auditory task. The second procedure consisted of a 40 Hertz auditory response phase. All identifying information was removed from the EDGs to ensure the confidentiality of the participants. A major limitation of this study is the small geographical region of the data collected. Data from participants were taken from only two medical centers in a region of southwestern Nigeria. However, one aim of the study is to increase the scope of the dataset to reflect the diversities of the African regions.