BostonTwin is a high-fidelity digital twin dataset that merges a detailed 3D model of Boston with geospatial data on cellular base stations, enabling accurate ray-tracing simulations for 6G networks. The dataset provides a city-scale 3D model in PLY format, compatible with popular ray-tracing tools like NVIDIA Sionna, and includes APIs for integrating the model with ray-tracing environments. It allows for the simulation of electromagnetic propagation in real-world scenarios, crucial for designing 6G networks that support high-bandwidth applications such as extended reality (XR) and immersive communications. The dataset is publicly available and open-source, supporting a wide range of applications including network planning, performance evaluation, and simulation of wireless communication scenarios. BostonTwin offers a flexible and scalable framework for digital twin-based research, enabling the analysis of coverage and data rates in urban environments. The framework includes tools for 3D model simplification, georeferencing, and integration with other open-source tools, making it a valuable resource for researchers and developers working on next-generation wireless networks. The dataset and code are available at [36] and [37], respectively.BostonTwin is a high-fidelity digital twin dataset that merges a detailed 3D model of Boston with geospatial data on cellular base stations, enabling accurate ray-tracing simulations for 6G networks. The dataset provides a city-scale 3D model in PLY format, compatible with popular ray-tracing tools like NVIDIA Sionna, and includes APIs for integrating the model with ray-tracing environments. It allows for the simulation of electromagnetic propagation in real-world scenarios, crucial for designing 6G networks that support high-bandwidth applications such as extended reality (XR) and immersive communications. The dataset is publicly available and open-source, supporting a wide range of applications including network planning, performance evaluation, and simulation of wireless communication scenarios. BostonTwin offers a flexible and scalable framework for digital twin-based research, enabling the analysis of coverage and data rates in urban environments. The framework includes tools for 3D model simplification, georeferencing, and integration with other open-source tools, making it a valuable resource for researchers and developers working on next-generation wireless networks. The dataset and code are available at [36] and [37], respectively.