Training data size refers to the amount or quantity of data that is used to train an AI model, indicating the number of examples or instances available for the model to learn from. Each domain has a specific data point input unit, such as images to train vision models, words for language models and timesteps for games models. This means systems can only be compared directly within the same domain.