<p>Nuclear technology plays a pivotal role in global development, especially as a cornerstone of sustainable innovation. However, nuclear reactions emit high-energy photons and pose significant risks to human health and safety. Accurate radiation hazard assessments are essential for nuclear facilities. The Point Kernel method is widely adopted in safety practice for its high computational efficiency. A key element of this method is the use of coefficients known as buildup factors, which critically impact simulation accuracy. However, the most used dataset—published in the ANSI reports—is outdated in both format and scope, lacking sufficient data to support reliable simulations and hindering further research. To address this limitation, we present a novel open-access dataset, the <b>Photon Shielding Spectra Dataset (PSSD)</b>, which provides photon flux shielding spectra with comprehensive elemental coverage. PSSD enhances the adaptability of buildup factors, supports the conversion between multiple physical quantities, and can be seamlessly integrated with advanced AI techniques for improved accuracy and efficiency in radiation safety assessments and shielding design.</p>