信息通信技术与政策2026，Vol.52Issue(5)：32-40,9.DOI:10.12267/j.issn.2096-5931.2026.05.005
面向数据集建设的平台工具体系与落地实践研究
Research on platform tool systems and implementation practices for dataset construction
张云龙 1童锦瑞 2向勇 1张志强 1姚桂花 1袁博2
作者信息
- 1. 中电信人工智能科技(北京)有限公司,北京 264001
- 2. 中国信息通信研究院人工智能研究所,北京 100191
- 折叠
摘要
Abstract
This paper focuses on the demand for high-quality datasets in large model development and proposes an enterprise-level platform methodology covering resource management,automated processing,quality evaluation,version traceability,and secure sharing.By integrating visual workflows,high-performance filtering,hybrid scheduling,and a multidimensional evaluation framework,the platform addresses key challenges in large-scale data processing,including efficiency,compliance,and governance,and provides a practical solution for high-quality dataset construction.关键词
多模态算子融合/算子流程编排/高质量数据集/数据治理/数据标注/数据评测Key words
multimodal operator fusion/operator workflow orchestration/high-quality dataset/data governance/data annotation/data evaluation分类
信息技术与安全科学引用本文复制引用
张云龙,童锦瑞,向勇,张志强,姚桂花,袁博..面向数据集建设的平台工具体系与落地实践研究[J].信息通信技术与政策,2026,52(5):32-40,9.
