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

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.

Key words: multimodal operator fusion, operator workflow orchestration, high-quality dataset, data governance, data annotation, data evaluation