Core Insights - The 2025 China International Big Data Industry Expo concluded in Guiyang, focusing on themes such as data-driven industrial momentum and new development chapters, featuring 375 participating companies and 26 exchange activities [1] Group 1: Data Infrastructure and Transactions - The National Data Bureau announced the successful cross-domain data transaction between Nanjing and Dalian, marking the first instance of credible data flow between cities in China [2] - This transaction utilized the national data circulation infrastructure, validating the feasibility and reliability of cross-domain data operations [2] Group 2: High-Quality Data Sets - The National Data Bureau released the first batch of 104 high-quality data set case studies, with two cases from Nanjing included, highlighting the importance of high-quality data sets for AI model training [4] - The two selected cases from Nanjing are the "Public Credit Archive High-Quality Data Set" by Nanjing Lais Information Technology Co., Ltd. and the "Intelligent Inspection and Safety Control Data Set for China Huadian Power Generation" by Nanjing Nanzi Information Technology Co., Ltd. [4] Group 3: Public Credit Archive Data Set - The "Public Credit Archive High-Quality Data Set" has collected over 800 billion data entries, covering more than 180 million social entities and 800 million individuals, with an annual increase of over 2 billion entries [5] - This data set is utilized in various sectors, including government services and social governance, enhancing administrative efficiency and reducing market operation costs [5] Group 4: Intelligent Inspection Data Set - The "Intelligent Inspection and Safety Control Data Set" addresses challenges in the power generation sector by creating a comprehensive dataset covering various energy types, including wind, solar, hydro, and thermal power [6] - It establishes a standard system for data collection, annotation, and application, promoting industry development [6] Group 5: High-Quality Data Set Industry Base - The "China High-Quality Data Set Industry Base (Nanjing)" was inaugurated, focusing on key technology breakthroughs and standard system construction for high-quality data sets [7] - The base aims to foster collaboration among industry players and enhance the development of AI data sets, contributing to the innovation and intelligence of various sectors [7]

Group 1 - The National Data Bureau officially released the first batch of 104 high-quality data set typical case lists at the China International Big Data Industry Expo held from August 28 to 30 [1] - Four cases from Jiangsu Province were selected, including China Mobile's "China Mobile R&D Large Model High-Quality Data Set," Nanjing Lais Information Technology's "Public Credit Archive High-Quality Data Set," Nanjing Nanzi Information Technology's "China Huadian Power Generation Intelligent Inspection and Safety Control High-Quality Data Set," and China Energy Conservation Solar Technology's "Integrated Energy High-Quality Data Set Construction" [1] - The "China Mobile R&D Large Model High-Quality Data Set" has a total data volume exceeding 10TB, covering 8 categories and 17 data sets, which can be reused in various vertical industries such as industrial, financial, and transportation for improving and evaluating data quality of large models [1] Group 2 - The "Public Credit Archive High-Quality Data Set" has connected with 47 ministries, 31 provincial units, and the Xinjiang Production and Construction Corps, accumulating over 80 billion records by June this year, widely applied in government services and social governance [1] - The "China Huadian Power Generation Intelligent Inspection and Safety Control High-Quality Data Set" has constructed a visual data set covering all types of power generation including wind, solar, hydro, and thermal [1] - China Energy Conservation Solar Technology (Zhenjiang) Co., Ltd. provides integrated green and low-carbon operational scenarios and delivery service capabilities through the construction of the integrated energy high-quality data set [1]