This repository compiles research and resources on synthetic data generation using large language models. It covers methods and applications across mathematical reasoning, code generation, alignment, reward modeling, long-context understanding, multi-modal tasks, and agent systems. Organized as an awesome-style list, it serves as a reference for researchers and practitioners working on LLM training data creation.