Ⅰ.
outline
Chapter 1: Background and Purpose of Writing
1.
Background
2.
purpose
Chapter 2 Quality Management Guidelines
1.
Volume 2: AI Data Construction Guide
2.
Data Construction Case Study Project Selection

Ⅱ.
Data Construction Guide
Chapter 1: Data Construction Case Studies
[LLM]
1.
Compliance data
2.
Descriptive Writing - Assessment Data
[LMM]
3.
Korean traditional pattern data
4.
Spatial distribution data of air pollution emission sources
5.
Risk detection data for care of elderly people living alone
[synthesis]
6.
Synthetic data of gastric cancer pathology images and interpretation reports
Chapter 2: Quality Control Case Guide
[LLM]
1.
Contract Legal Document Format Data
[LMM]
2.
Spatial distribution data of air pollution emission sources
[synthesis]
3.
Synthetic data of gastric cancer pathology images and interpretation reports

Ⅲ.
Quality Error Type Analysis
Chapter 1: Analysis of Quality Error Types
1.
Analysis purpose and utilization plan
2.
Analysis method
3.
Error analysis results
Chapter 2: Error Examples by Type
1.
Examples of semantic accuracy errors
2.
Example of validation error
3.
Example of a syntactic accuracy error
4.
Examples of diversity errors
5.
Example of a source data error
6.
Example of similarity error
7.
Example of synthetic data error