Group 1 - The core point of the news is that Qunke Technology's open-source dataset InteriorGS has topped the global AI open-source community HuggingFace trends, highlighting the growing importance of high-quality training data in the field of embodied intelligence [1][2] - The InteriorGS dataset consists of 1,000 Gaussian scenes, covering over 80 types of environments and more than 554,000 object labels across 755 categories, each with 3D bounding boxes and semantic annotations [1] - The other dataset, InteriorAgent, is specifically designed for the IROS 2025 "Peach Garden" robotics learning challenge, aiming to bridge the gap between simulation and real-world applications [2] Group 2 - Qunke Technology has been focusing on spatial intelligent services in indoor environments and previously released the world's largest indoor spatial deep learning dataset, InteriorNet, in 2018, which contains 130 million spatial data points [2] - The recent advancements in AI from Chinese companies, including Qunke Technology, reflect the rapid development of China's digital economy and its emergence as a global leader in AI technology [2] - The datasets and models developed by Chinese companies are seen as foundational for their role in the global AI landscape, driven by complex scenarios and diverse demands [2]

Group 1 - The core point of the news is that Qunhe Technology's open-source dataset InteriorGS has topped the global AI open-source community HuggingFace trend list, highlighting the increasing importance of high-quality training data in the field of embodied intelligence [1] - The InteriorGS dataset is the first to introduce 3D Gaussian technology into AI spatial training, combining realistic and semantic capabilities, making it the world's first large-scale 3D dataset suitable for intelligent agents' free movement [1] - InteriorGS consists of 1,000 Gaussian scenes, covering over 80 types of environments and more than 554,000 object labels across 755 categories, with each object accompanied by 3D bounding boxes and semantic annotations [1] Group 2 - Another dataset from Qunhe Technology, InteriorAgent, is specifically designed for the IROS 2025 "Peach Garden" and real-world robotics learning challenge, aiming to bridge the gap between simulation and reality in embodied intelligence technology [2] - The IROS competition, co-organized by Qunhe Technology and the University of Adelaide, has started registration and will hold an award ceremony on October 20 at the IROS conference [2] - Qunhe Technology has been focused on spatial intelligent services in indoor scenes, having released the world's largest indoor spatial deep learning dataset, InteriorNet, in 2018, which contains 130 million spatial data points [2]