The training dataset and the testing dataset are two types of datasets that are required for predictive scenarios. A predictive scenario is a configuration that defines how to use machine learning algorithms to analyze data and generate predictions or recommendations. A training dataset is a dataset that is used to train the machine learning model and optimize its parameters based on historical data and known outcomes. A testing dataset is a dataset that is used to evaluate the performance and accuracy of the machine learning model based on new data and unknown outcomes.