Logic Mechanism, Practical Dilemmas, and Path Optimization of High-Quality Dataset Construction under Large Model Iteration

DOI

10.2991/978-94-6239-825-2_26How to use a DOI?

Keywords

high-quality dataset; large model; bidirectional coupling; data supply; data element governance

Abstract

Represented by large language models, artificial intelligence technology has entered a new stage characterized by rapid iteration and vertical deployment. As a strategic resource for enhancing model capabilities, the construction level of high-quality datasets directly determines the strength of national digital competitiveness. Breaking through the limitations of existing research that treats datasets and large models as a unidirectional supply-demand relationship, this paper constructs an “empowerment–feedback” analytical framework to systematically demonstrate the bidirectional coupling mechanism between high-quality datasets and large models, and traces the historical evolution and future trends of their adaptive relationship from the perspective of technological history. On this basis, the paper analyzes the structural dilemmas facing China’s high-quality dataset construction from four dimensions—foundational resources, quality control, industrial supply, and governance system—and proposes a four-chain synergy optimization path centered on strengthening the data supply chain, enhancing the data value chain, facilitating the data circulation chain, and upgrading the data governance chain.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jing Di
AU  - Na Su
AU  - Wei Qin
PY  - 2026
DA  - 2026/11/10
TI  - Logic Mechanism, Practical Dilemmas, and Path Optimization of High-Quality Dataset Construction under Large Model Iteration
BT  - Proceedings of the 2026 5th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2026)
PB  - Atlantis Press
SP  - 257
EP  - 274
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-825-2_26
DO  - 10.2991/978-94-6239-825-2_26
ID  - Di2026
ER  -