What is the difference between a source and a dataset?

A source is the raw data you want to use to create a model, where each row represents an instance of your data and each column represents a field, also called feature; usually the first row of the file contains the field names. Whereas a dataset is a structured version of your source, ready to be used for your Machine Learning Pipelines. AI Studio has many options and visualizations that allow you to analyze your data and get the best out of it to build your Machine Learning models.