The Scikit-learn toy dataset module is embedded in the Scikit-learn package. Such datasets can easily be directly loaded into Python by the import command, and they don't require any download from any external internet repository. Some examples of this type of dataset are the Iris, Boston, and Digits datasets, to name the principal ones mentioned in uncountable publications and books, and a few other classic ones for classification and regression.
Structured in a dictionary-like object, besides the features and target variables, they offer complete descriptions and contextualization of the data itself.
For instance, to load the Iris dataset, enter the following commands:
In: from sklearn import datasets iris = datasets.load_iris() ...
