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To define properly datasets, the notion of sample should be introduced first. A sample is defined as polymorphic tuple. The size of the tuple will be by definition the arity of the sample itself.

A dataset is a collection of samples, that

Hence the dataset implements the notion of sequence.

The descriptive power of the datasets in Unit Test Framework comes from

[Tip] Tip

Only "monomorphic" datasets are supported, which means that all samples in a dataset have the same type and same arity [2] .

As we will see in the next sections, datasets representing collections of different types may be combined together (e.g.. zip or grid). These operations result in new datasets, in which the samples are of an augmented type.

[2] polymorphic datasets will be considered in the future. Their need is mainly driven by the replacement of the typed parametrized test cases by the dataset-like API.