Fixed-length data refers to datasets where every example is characterized by the exact same number of numerical features. When inputs are structured this way, they are often referred to as fixed-length vectors, and this constant length is known as the dimensionality of the data. Working with fixed-length inputs is typically convenient for machine learning models as it provides a uniform structure, contrasting with varying-length data forms like text or unstandardized images.