The Data set consists of 1200 records of Cardiovascular ECGs where each of the 300 records belongs to one ailment, in such a way 4 ailments have been considered. The original signals are taken from the MIT-BIH physio-net Database. One ailment is the MIT-BIH Arrhythmia Database, the other is BIDMC Congestive Heart Failure Database and MIT-BIH Atrial Fibrillation Database and finally MIT-BIH Normal Sinus Rhythm Database. From these four databases, ECG records have been segmented at 4120 samples each forming 300 signals. They are normalized with mentioned gain for each database and are preprocessed with bandpass filters. MODWPT technique was used to obtain 54 features that are given as columns in .csv file that is uploaded here. So the file has 1200 x 54 size records.