Overview of Synthetic Data Generation

The Synthetic Data Generation (SDG) tool is a versatile platform designed to produce and evaluate synthetic data. Users can generate tabular datasets entirely from scratch or use already existing datasets to synthesize data using state-of-the-art models for both Tabular and Timeseries formats. Additionally, the SDG tool addresses the challenge of dataset imbalance by oversampling minority classes through a dedicated Handle Imbalance mode. Finally, the tool enables users to evaluate and validate the quality of the generated data.