This standard establishes a unified framework and technical requirements for the development, management, and quality assurance of high-quality Artificial Intelligence (AI) datasets for rail transit equipment manufacturing. The standard addresses domain-specific characteristics of industrial datasets that are not fully covered by general-purpose AI dataset standards. The standard defines processes, key technical requirements, inputs and outputs, and requirements for quality control and analysis of data, data planning, data acquisition, data processing, dataset construction, validation, and evaluation.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2026-09-25
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
Data-RTEM - High Quality Datasets for Rail Transit Equipment Manufacturing
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Ailing Wang
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