Chinese patent text data consists of two main components: patent description text information and patent claims text information.
Patent description text information provides clear and comprehensive explanations of a patent's structure, technical features, and usage methods. It should include items such as technical field(技术领域), background art(背景技术), summary of invention(发明内容), and detailed implementation methods(具体实施方法). This textual information serves dual purposes: disclosing new inventions thoroughly and defining the scope of legal protection.
Patent claims text information refers to the numbered expressions or noun phrases in patent applications that scientifically delineate the protected scope of the invention. These claims play a critical role in both patent applications and litigation: patent holders must demonstrate in court that alleged infringements fall within the scope defined by these claims to enforce their exclusive rights.
The Chinese Patent Text Data provided by CnOpenData contains over 23 million records, representing an exceptionally large-scale textual dataset with significant research value for patent studies.
Temporal Coverage
- Invention disclosures: Statistics based on application publication dates (1985-2024)
- Granted patents/Utility models/Design patents: Statistics based on authorization announcement dates (1985-2024)
Field Specifications
Basic Information Table of Chinese Patents
Sample Data
Basic Information Table of Chinese Patents
Chinese Patent Description Text Information
Chinese Patent Claims Text Information
Related Literature
- Sun Yahui, Shi Xing, Peng Fei & Wu Huaqing, 2024: "R&D Subsidies and Progressive Innovation Lock-in: A Machine Learning-based Patent Text Analysis", Economic Research Journal(经济研究) 11.
- Liu Qing & Xiao Baigao, 2023: "Labor Costs and Labor-Saving Technological Innovation: Evidence from AI Language Models and Patent Texts", Economic Research Journal(经济研究) 2.
- Huang Biao, Li Haitong, Liu Junqi & Lei Jinghua, 2023: "Digital Technology Innovation and High-Quality Development of Chinese Enterprises: Evidence from Digital Patents", Economic Research Journal(经济研究) 3.
- Huang Xianhai, Wang Handi, Sun Yongming et al., 2023: "Digital Technology and Enterprise Export Quality Upgrading: Evidence from Machine Learning Analysis of Patent Texts", The Journal of Quantitative & Technical Economics(数量经济技术经济研究) 12.
- Josh L. & Amit S, 2021: "The Use and Misuse of Patent Data: Issues for Finance and Beyond", The Review of Financial Studies.
Data Update Frequency
Annual Update