On the 14th, the State Council Information Office held a press conference to introduce the achievements of digital China construction and development during the 14th Five Year Plan period. Liu Liehong, member of the Party Group of the National Development and Reform Commission and Director of the National Data Administration, introduced that as of the end of June 2025, China's total computing power will rank second in the world, with over 35000 high-quality datasets built and a total volume exceeding 400PB. Liu Liehong pointed out that during the 14th Five Year Plan period, China will firmly grasp the opportunities of digitalization, networking, and intelligence development, comprehensively deepen the market-oriented configuration reform of data elements, and achieve significant achievements in promoting the construction of a digital China. In recent years, the rapid development of artificial intelligence in China can not be separated from the country's high attention to data work. Data is one of the three core elements in the development of artificial intelligence, playing a crucial role in promoting the process of 'AI+', especially in the construction of high-quality datasets. ”Liu Liehong gave an example that in the field of healthcare, the accuracy of disease diagnosis can be improved by more than 15% through annotated high-quality medical imaging datasets. As the first country to use data as a factor of production, China has taken multiple measures to promote the development and utilization of data resources. Liu Liehong introduced that in order to vigorously promote the supply of high-quality data, China has issued relevant documents on the construction of high-quality datasets, and multiple departments have jointly promoted related work. We have guided the National Data Standardization Technical Committee to research and develop relevant standards and technical documents, organized pilot projects and typical case collection activities for high-quality dataset construction, and established a number of typical solutions by industry and field, "said Liu Liehong. Liu Liehong revealed that after a period of effort, the proportion of Chinese data used for training most models in China has exceeded 60%, and some models have reached 80%. The development and supply capacity of high-quality Chinese data continues to increase, promoting the rapid improvement of China's AI model performance. The training of artificial intelligence models has also driven the increasing demand for data trading. Data shows that as of the end of June this year, the cumulative transaction volume of high-quality datasets in various regions has reached nearly 4 billion yuan, and the total scale of high-quality datasets listed by data trading institutions has reached 246PB. Taking the Beijing Data Exchange as an example, the proportion of high-quality datasets in the total transaction volume has jumped from 10% last year to nearly 80% at present. ”Liu Liehong said. At the same time, Shanghai, Tianjin, Anhui and other places are piloting new models such as "data corpus valuation and equity investment" to guide enterprises to convert high-quality datasets into equity and invest them in related enterprises. Liu Liehong stated that in the next step, relevant departments will continue to promote the construction of high-quality datasets through systematic layout, accelerate the creation of data highlands in key areas such as embodied intelligence, low altitude economy, and biomanufacturing. "We will also promote the whole society to strengthen the recognition of data element value, accelerate the co creation of data element value, and cultivate a market consensus of 'paying for high-quality data'