Training data refers to annotated or benchmark datasets used to train machine learning models. For generative AI, training data consists of diverse datasets employed to train its models. The sources and formats of such data collectively shape the landscape of generative AI, which serves as the factual basis for analyzing copyright compliance. Given that training data typically comes from multiple sources and includes vast volumes of texts, images, audio, and other works, it often carries inherent copyright infringement risks.