I. Introduction Data bottlenecks faced by traditional AI models with the continuous development of artificial intelligence technology, the application of AI algorithms such as deep learning in various fields is also booming. However, the optimization and upgrading of AI models need to rely on massive data to support, which has a huge demand for data. Traditionally, the acquisition and storage of data is a bottleneck in the development of AI. Most open data collectives are limited in quantity,...