Research on platform tool systems and implementation practices for dataset construction

doi:10.12267/j.issn.2096-5931.2026.05.005

Abstract

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

CLC Number:

TP391.1

ZHANG Yunlong, TONG Jinrui, XIANG Yong, ZHANG Zhiqiang, YAO Guihua, YUAN Bo. Research on platform tool systems and implementation practices for dataset construction[J]. Information and Communications Technology and Policy, 2026, 52(5): 32-40.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2026.05.005

http://ictp.caict.ac.cn/EN/Y2026/V52/I5/32

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Research on platform tool systems and implementation practices for dataset construction

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