Reporters learned that the open-source dataset InteriorGS, recently released by Qunhe Technology, topped the HuggingFace trend list, the world's largest open-source AI community. NVIDIA's Nemotron-Post dataset followed closely behind, along with another open-source 3D dataset, InteriorAgent. It is understood that the top-ranked 3D Gaussian semantic dataset, InteriorGS, introduces 3D Gaussian technology to AI spatial training for the first time. Combined with its proprietary large-scale spatial model capabilities, the dataset achieves both realism and semantics, becoming the world's first large-scale 3D dataset suitable for the free movement of intelligent agents. The InteriorGS dataset consists of 1,000 Gaussian scenes covering over 80 environment types and over 554,000 object labels across 755 categories. Each object is accompanied by a 3D bounding box and semantic annotations.