Abstract: This paper uses Beichuang library management system to collect circulation records at Fuzhou University Library from 2010 to 2021. The data is composed of reader information, borrowing information and book information. Through the data association of multiple tables and the data encryption of the unrecoverable privacy data of readers, 6, 540, 595 circulation records of paper documents are finally generated. The dataset is helpful for libraries to optimize collection development, formulate more reasonable check-out rules, and carry out personalized reading promotion.