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This article discusses a new approach to analyzing agricultural policies in China using a combination of machine learning and natural language processing techniques. The researchers have created a comprehensive dataset of agricultural policy documents from the past 40 years and have developed a method for quantifying the intensity of these policies. This dataset can be used for inter-country comparisons and to analyze different aspects of agricultural policies. The study also provides detailed information on Chinese agricultural policies, categorized by government departments, making it easier for researchers to access this information.