According to CoinMeta, on the morning of October 28th, the National Data Bureau held a symposium on the construction of high-quality datasets for the industry. The meeting emphasized the need to understand the data requirements of artificial intelligence applications. Chain leaders are encouraged to base their efforts on their own needs and proactively expand external demands from upstream and downstream of the industrial chain to advance the construction of datasets effectively. The meeting also mentioned that chain leaders should explore the establishment of mechanisms for profit distribution and commercial returns, map out the industry's data landscape, promote the distributed aggregation of industry data, and guide the registration of datasets into the National Dataset Management Service System. Additionally, the meeting stressed the importance of strengthening feedback from applications, establishing mechanisms for data circulation and iterative optimization, continuously collecting user feedback, promoting dynamic updates of datasets, enhancing the adaptability of data to application scenarios, strengthening collaboration within the industrial chain, leveraging the "chain-gathering" role of chain leaders, coordinating with units upstream and downstream of the chain, and expanding the scope of cooperation to foster the development of the industry ecosystem.