five

中国各省市AI政策文本数据集

收藏
国家基础学科公共科学数据中心2026-02-07 收录
下载链接:
https://nbsdc.cn/general/dataDetail?id=6984be8c195d2616afafb2ea&type=1
下载链接
链接失效反馈
官方服务:
资源简介:
本数据集深度系统地梳理了我国中央及各省市在人工智能领域的政策布局,涵盖了从2007年早期电子商务探索到2025年“人工智能+制造”深度融合阶段的海量政策文本。通过对数千条法规文件进行结构化处理,数据集精准提取了政策制定主体、治理层级、政策工具类型及政府角色定位等核心字段,详细还原了地方政府在推动技术创新、优化产业环境及规范治理逻辑方面的演进历程。依托精细的词频分析与文本挖掘,该资源不仅展现了我国AI政策从宏观战略向垂直领域(如制造业、商贸、数据要素)下沉的时间维度与空间特征,更为研究区域性治理差异、评估政策实施效能及优化新质生产力布局提供了极具权威性的实证基座。数据量:17.3MB。

This dataset thoroughly and systematically sorts out the policy deployment of China's central authorities and all provincial-level regions (including provinces, autonomous regions, and municipalities directly under the Central Government) in the field of artificial intelligence, covering a massive volume of policy documents spanning from the early e-commerce exploration in 2007 to the stage of deep integration of "AI + Manufacturing" by 2025. Through structured processing of thousands of regulatory and policy documents, this dataset accurately extracts core fields including policy-making entities, governance hierarchies, types of policy instruments, and the positioning of government roles, and comprehensively reconstructs the evolutionary trajectory of local governments in promoting technological innovation, optimizing industrial environments, and standardizing governance logic. Relying on precise word frequency analysis and text mining techniques, this resource not only demonstrates the temporal and spatial characteristics of China's AI policies shifting from macro-level strategies to vertical application sectors such as manufacturing, commerce, and data elements, but also provides an authoritative empirical foundation for researching regional governance differences, evaluating policy implementation effectiveness, and optimizing the layout of new-quality productive forces. Data size: 17.3 MB.
提供机构:
清华大学
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集系统梳理了2007年至2025年中国中央及各省市的人工智能政策文本,涵盖从早期电子商务到“人工智能+制造”等阶段的演进。通过对数千条政策进行结构化处理,提取了政策主体、工具类型等核心字段,并利用词频分析揭示区域治理差异,为研究AI政策实施效能和新质生产力布局提供权威实证基础。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务