The Dataset is used for training and testing a machine learning classifier in order to achieve real-time detection of successful snap-fit assemblies. The Dataset contains force profiles on the axis of motion (assembly), captured during a robotic and a human assembly process of two different snap-fit assembly types, namely cantilever and annular. In robotic assembly, the process is done automatically where a robot holds one of the two parts and pushes it against the other, until the process is characterized as successful or failed. In the human assembly process, a human assembles the two parts while the robot acts as a smart sensor and captures the developed forces in the axis of assembly. The data set is split into 8 files, 4 for each snap fit type. One containing force profiles from the human based process (50 assembly cases) and one containing force profiles from the robot based process (60 assembly cases). Their labels (successful or failure) are also included in separate files.