Datasets can be obtained from different sources. The ones important for us are:
- Classical datasets such as Iris (botanical measurements of flowers composed by R. Fisher in 1936), MNIST (60,000 handwritten digits published in 1998), Titanic (personal information of Titanic passengers from Encyclopedia Titanica and other sources), and others. Many classical datasets are available as part of Python and R ML packages. They represent some classical types of ML tasks and are useful for demonstrations of algorithms. Meanwhile, there is no similar library for Swift. Implementation of such a library would be straightforward and is a low-hanging fruit for anyone who wants to get some stars on GitHub.
- Open and commercial dataset ...