darsnack / MLDatasets.jl

Utility package for accessing common Machine Learning datasets in Julia

MLDatasets.jl

This package represents a community effort to provide a common interface for accessing common Machine Learning (ML) datasets. In contrast to other data-related Julia packages, the focus of MLDatasets.jl is specifically on downloading, unpacking, and accessing benchmark datasets. Functionality for the purpose of data processing or visualization is only provided to a degree that is special to some dataset.

This package is a part of the JuliaML ecosystem. Its functionality is built on top of the package DataDeps.jl.

Available Datasets

Each dataset has its own dedicated sub-module. Find below a list of available datasets and links to their documentation.

Vision

• CIFAR10
• CIFAR100
• EMNIST
• FashionMNIST
• MNIST
• SVHN2

Miscellaneous

• BostonHousing
• Iris
• Mutagenesis
• Titanic

Text

• PTBLM
• UD_English

Graphs

• CiteSeer
• Cora
• PubMed
• TUDatasets

Installation

To install MLDatasets.jl, start up Julia and type the following code snippet into the REPL. It makes use of the native Julia package manger.

import Pkg
Pkg.add("MLDatasets")

Contributing to MLDatasets

New dataset contributions are warmly welcome. See src/Cora/Cora.jl for an example of a minimal implementation.

License

This code is free to use under the terms of the MIT license.