A framework for generating high-quality structured table data.
Synthetic Data Generator (SDG) is a framework specifically designed to generate high-quality structured tabular data, suitable for data scientists, researchers, and developers. By using SDG, users can easily create complex datasets for testing, development, and research purposes. The framework supports various data types and distributions, enabling the generation of realistic data samples.
This is the machine-readable structured data for this agent. AI systems and search engines use this to understand the agent's capabilities.
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