2025数博会：高质量数据集的建设非常重要

Core Insights - The construction of high-quality datasets is crucial for the advancement of artificial intelligence, as emphasized by the head of the National Data Bureau, Liu Liehong [1] Group 1: High-Quality Datasets - Over 35,000 high-quality datasets have been established across China, with a total volume exceeding 300PB, providing a solid data foundation for the rapid enhancement of AI model performance [2] - The cumulative transaction value of high-quality datasets in China has reached 4 billion yuan, with 3,364 trading institutions listing these datasets, totaling 246PB in scale [2] - There is a growing demand for data trading driven by AI model training, as various sectors are increasingly willing to invest in data resources to support the application of large models [2] Group 2: Regional Development and Initiatives - Guizhou Province has established a provincial-level data circulation trading platform and has cultivated over 200 data businesses, releasing more than 900 high-quality datasets in key sectors such as finance, manufacturing, healthcare, and commerce [3] - The province is actively promoting the synergy of computing power, data, and application industries, focusing on four key sectors: intelligent computing, high-quality data construction, AI large models, and digital information [3] Group 3: Strategic Initiatives - The launch of the high-quality dataset navigation plan marks a significant step in building the data element ecosystem and enhancing the supply of high-quality datasets [5] - The importance of high-quality datasets is underscored by experts, stating that without them, even the most advanced algorithms and powerful computing resources cannot achieve breakthroughs in AI [6]