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Four Projects from Jiangsu Make the List of National Exemplary High-quality Dataset Cases
updated on:2025-09-06 09:14

National Data Administration officially released the list of the first batch of 104 exemplary high-quality dataset cases at the China International Big Data Industry Expo held from August 28 to 30. Four cases from Jiangsu made the list, including the “China Mobile High-quality Dataset for R&D Large Models” from China Mobile (Suzhou) Software Technology Co., Ltd, the “Public Credit File High-quality Dataset” from Nanjing LES Information Technology Co., Ltd, the “China Huadian High-quality Dataset for Intelligent Power Generation Inspection and Safety Control” from Nanjing NARI Information & Communication Technology Co., Ltd, and the “Construction of High-quality Dataset for Integrated, Energy-saving PV Energy Solutions” from CECEP Solar Energy Technology (Zhenjiang) Co., Ltd.

The China Mobile High-quality Dataset for R&D Large Models with a total data volume exceeding 10TB, covers 17 sub-datasets across eight categories, including technical Chinese corpus. It can be reused for the improvement and evaluation of large-model data quality in various vertical sectors such as industry, finance, and transportation. The Public Credit File High-quality Dataset has incorporated data from 47 ministries, 31 provincial-level institutions and the Xinjiang Production and Construction Corps. As of this June, it has cumulatively collected over 80 billion records of data and is widely used in fields such as government services and social governance. The China Huadian High-quality Dataset for Intelligent Power Generation Inspection and Safety Control has established a visual dataset for intelligent inspection and safety control in the power generation sector, covering wind, solar, hydro, and thermal power. Thanks to the development of its high-quality dataset for integrated, energy-saving PV energy solutions, CECEP Solar Energy Technology (Zhenjiang) Co., Ltd is able to equip its clients with integrated green and low-carbon operational scenarios and service delivery capabilities.