The wireless network data are a feasible way to understand the user behaviour in a given environment and may be utilized for analysis, prediction and optimization. On the other hand, datasets from wireless service providers are not publicly available, and obtaining a dataset in real time is challenging. In this work, we present a software/tool to generate a 5G dense deployment dataset obtained from the Liverpool City Region High Density Demand (LCR HDD) project. The project involves network deployment and assessment at Salt Tar and the ACC Arena event venues located in the city of Liverpool. Digital twin technology is considered to generate the realistic user positions, which is inputted to a system-level simulator for data modelling and analysis. The package consists of (i) a digital twin user interface developed by CGA, (ii) guidelines to configure the Vienna 5G system-level simulator, and (iii)a MATLAB script to extract the result. The package presented is utilized to collect a dataset that is publicly available at the LJMU repository (https://opendata.ljmu.ac.uk/id/eprint/236/).