Synthetic Data Blueprint (SDB): A modular framework for the statistical, structural, and graph-based evaluation of synthetic tabular data
Published:Dec 16, 2025 10:40
•1 min read
•ArXiv
Analysis
This article introduces a modular framework (SDB) for evaluating synthetic tabular data. The framework uses statistical, structural, and graph-based methods. The focus is on evaluating the quality of synthetic data, which is crucial for various AI applications.
Key Takeaways
- •Introduces a modular framework (SDB) for evaluating synthetic tabular data.
- •The framework uses statistical, structural, and graph-based methods.
- •Focuses on the quality of synthetic data, important for AI applications.
Reference
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