SHANGHAI, July 17 (Xinhua) -- The Chinese Academy of Sciences (CAS) on Friday launched a large collection of curated scientific and technological texts and data designed to help artificial intelligence models understand specialized scientific knowledge.
Named the AoCang S&T Corpus, the resource was unveiled during the 2026 World Artificial Intelligence Conference in Shanghai in east China. It draws on scientific data, research papers, invention patents and sci-tech books that have been processed into material AI systems can use.
Led by the National Science Library of the CAS, this project consists of one national database integrating knowledge across disciplines, seven specialized databases and multiple datasets designed for specific applications. It covers fields including mathematics, physics, chemistry, chemical engineering, astronomy and space science.
Qu Jiansheng, director of the library, said the corpus could help fill gaps in AI models' specialized knowledge and correct errors in logical reasoning, making their outputs more consistent with basic scientific principles and mathematical logic.
Beyond research, the project will provide tailored datasets for commercial spaceflight, intelligent manufacturing and biomedicine. It is expected to support more than 100 industry applications, such as electronic component selection, ultrastructural pathology diagnosis and high-speed train design. ■
