Red Datasets provides classes that provide common datasets such as iris dataset.
You can use datasets easily because you can access each dataset with multiple ways such as #each and Apache Arrow Record Batch.
% gem install red-datasets- Adult Dataset
- Aozora Bunko
- California Housing
- CIFAR-10 Dataset
- CIFAR-100 Dataset
- CLDR language plural rules
- Communities and crime
- Diamonds Dataset
- E-Stat Japan
- Fashion-MNIST
- Fuel Economy Dataset
- Geolonia Japanese Addresses
- Hepatitis
- Iris Dataset
- Libsvm
- MNIST database
- Mushroom
- Penguins
- The Penn Treebank Project
- PMJT - Pre-Modern Japanese Text dataset list
- Postal Codes in Japan
- Rdatasets
- Seaborn
- Sudachi Synonym Dictionary
- Wikipedia
- Wine Dataset
Here is an example to access Iris Data Set by #each or Table#to_h or Table#fetch_values.
require "datasets"
iris = Datasets::Iris.new
iris.each do |record|
p [
record.sepal_length,
record.sepal_width,
record.petal_length,
record.petal_width,
record.label,
]
end
# => [5.1, 3.5, 1.4, 0.2, "Iris-setosa"]
# => [4.9, 3.0, 1.4, 0.2, "Iris-setosa"]
:
# => [7.0, 3.2, 4.7, 1.4, "Iris-versicolor"]
iris_hash = iris.to_table.to_h
p iris_hash[:sepal_length]
# => [5.1, 4.9, .. , 7.0, ..
p iris_hash[:sepal_width]
# => [3.5, 3.0, .. , 3.2, ..
p iris_hash[:petal_length]
# => [1.4, 1.4, .. , 4.7, ..
p iris_hash[:petal_width]
# => [0.2, 0.2, .. , 1.4, ..
p iris_hash[:label]
# => ["Iris-setosa", "Iris-setosa", .. , "Iris-versicolor", ..
iris_table = iris.to_table
p iris_table.fetch_values(:sepal_length, :sepal_width, :petal_length, :petal_width).transpose
# => [[5.1, 3.5, 1.4, 0.2],
[4.9, 3.0, 1.4, 0.2],
:
[7.0, 3.2, 4.7, 1.4],
:
p iris_table[:label]
# => ["Iris-setosa", "Iris-setosa", .. , "Iris-versicolor", ..Here is an example to access The CIFAR-10/100 dataset by #each:
CIFAR-10
require "datasets"
cifar = Datasets::CIFAR.new(n_classes: 10, type: :train)
cifar.metadata
#=> #<struct Datasets::Metadata name="CIFAR-10", url="https://www.cs.toronto.edu/~kriz/cifar.html", licenses=nil, description="CIFAR-10 is 32x32 image dataset">licenses=nil, description="CIFAR-10 is 32x32 image datasets">
cifar.each do |record|
p record.pixels
# => [59, 43, 50, 68, 98, 119, 139, 145, 149, 143, .....]
p record.label
# => 6
endCIFAR-100
require "datasets"
cifar = Datasets::CIFAR.new(n_classes: 100, type: :test)
cifar.metadata
#=> #<struct Datasets::Metadata name="CIFAR-100", url="https://www.cs.toronto.edu/~kriz/cifar.html", licenses=nil, description="CIFAR-100 is 32x32 image dataset">
cifar.each do |record|
p record.pixels
#=> [199, 196, 195, 195, 196, 197, 198, 198, 199, .....]
p record.coarse_label
#=> 10
p record.fine_label
#=> 49
endMNIST
require "datasets"
mnist = Datasets::MNIST.new(type: :train)
mnist.metadata
#=> #<struct Datasets::Metadata name="MNIST-train", url="http://yann.lecun.com/exdb/mnist/", licenses=nil, description="a training set of 60,000 examples">
mnist.each do |record|
p record.pixels
# => [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, .....]
p record.label
# => 5
end- Fork https://github.com/red-data-tools/red-datasets
- Create a feature branch from master
- Develop in the feature branch
- Pull request from the feature branch to https://github.com/red-data-tools/red-datasets
The MIT license. See LICENSE.txt for details.
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