This paper introduces a dataset characterizing the parameters of a stepped piezoelectric cantilever beam using various geometric specifications. The dataset also shows the electric potential generated at each layer when exposed to a specific excitation frequency. The primary application of the cantilever is in ambient vibration energy harvesting, where the piezoelectric cantilever beam plays a crucial role in converting mechanical vibrations into electrical energy. By shedding light on the complex interaction between geometric features and electric potential distributions, this dataset is valuable for advancing knowledge in energy harvesting technologies. The availability of this dataset facilitates further analysis, model validation, and optimization efforts, contributing to the ongoing enhancement of ambient energy harvesting systems by optimizing geometries.