DeePhy is a novel DeepFake Phylogeny dataset consisting of 5040 DeepFake videos generated using three different generation techniques. It is one of the first datasets which incorporates the concept of Deepfake Phylogeny which refers to the idea of generation of DeepFakes using multiple generation techniques in a sequential manner.

The dataset can be used for the tasks of (i) DeepFake Detection ,(ii) Model Attribution of DeepFakes and (iii) Prediction of the sequential order of DeepFake techniques employed to create phylogenetic deepfakes. It will facilitate advancements in real-life scenarios of plagiarism detection, forgery detection, and reverse engineering of deepfakes.