SDG is a specialized framework designed to generate high-quality structured tabular data using deep learning techniques, specifically GANs. It addresses privacy concerns by producing synthetic datasets that can substitute real data for ML training. The framework is part of an academic research initiative (HITSZ-IDS) and includes pre-commit hooks and CI testing infrastructure.