上海规划资源行业语料库建设方法探索OACHSSCD

The construction of quantum urban spatiotemporal intelligence and the R&D of the"Yunyu Xingkong"model system are important measures for Shanghai to build a new system of intelligent and efficient governance for megacities.As the fundamental and core foundational component of quantum urban construction,the development of the corpus provides essential data support for the training and retrieval-augmented generation(RAG)applications of the"Yunyu Xingkong"large model system.Based on a systematic review of mainstream methodologies for high-quality dataset development worldwide across different developmental stages,this study addresses the current shortcomings in knowledge organization and data construction within the field of planning and natural resources.Starting from the functional positioning and development objectives of the"Yunyu Xingkong"model system,this paper deeply analyzes the core data quality requirements imposed by large model applications.Adopting a dual perspective of problem orientation and goal orientation,this research proposes a systematic construction pathway for high-quality datasets tailored to the planning and resources domain.The research findings demonstrate that the development of high-quality industry-specific datasets requires three core principles.First,it is necessary to clarify overall development objectives and systematically design a top-level dataset architecture to achieve comprehensive coverage of professional business and domain knowledge.Second,standardized production procedures should be formulated to unify the technical specifications for both manual data compilation and intelligent automated data production.Third,business practicality should serve as the primary driving factor.In the critical stages of data collection and annotation,greater emphasis should be placed on the in-depth participation of domain experts throughout the data production lifecycle,ensuring that the constructed datasets can fully satisfy the operational demands of large model training and practical urban governance application scenarios.