This artifact abstract is a guideline for SmartSPEC, a simulator for generating customizable smart space datasets using semantic models of spaces, people, events and sensors. SmartSPEC is based on two main components: (i) Scenario Learning which produces metamodels of events and people using input seed data; and (ii) Scenario Generation which uses SmartSPEC data to generate a realistic smart space dataset. The realistic synthetic smart space dataset generated by SmartSPEC can be used for different tasks including, but not limited to, testing and validating approaches for sensor placement, location-based technologies, and sensor data management.