A large-scale dataset on the static and dynamic profiles based on function calls of 30,634 benign and malicious Android apps from eight historical years (2010 through 2017). Function calls are a commonly used means to model program behaviors, which may contribute to various code analysis approaches to assuring software correctness, reliability, and security. In particular, our dataset includes static and dynamic profiles of each app based on the same set of metrics that define the profile, enabling hybrid app analysis that reason about app behaviors from the dynamic profiles with the corresponding profiles as context. The static profiles are computed by the state-of-the-art static app analysis for Android, while the dynamic profiles are the result of running each sample app against automatically generated test inputs for ten minutes. Please cite the following paper to credit us when using these datasets. Cai, Haipeng, and Barbara G. Ryder. "Artifacts for dynamic analysis of Android apps." In 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 659-659. IEEE, 2017.