create-datasets.sh

# this dataset is needed for the sample under cli/jobs/pipelines-with-components/basics/4d_dataset_input

az ml data create -f ../cli/jobs/pipelines-with-components/basics/4d_dataset_input/data.yml



# <download_untar_cifar>

mkdir data

wget "https://azuremlexamples.blob.core.windows.net/datasets/cifar-10-python.tar.gz"

tar -xvzf cifar-10-python.tar.gz -C data

# </download_untar_cifar>



# <create_cifar>

az ml data create --name cifar-10-example --version 1 --set path=data

# </create_cifar>



# <cleanup_cifar>

rm cifar-10-python.tar.gz

rm -r data

# </cleanup_cifar>


# <create_rai_data>
az ml data create -f "./cli/jobs/pipelines-with-components/rai_pipeline_adult_analyse/data/data_adult_test.yaml"
az ml data create -f "./cli/jobs/pipelines-with-components/rai_pipeline_adult_analyse/data/data_adult_train.yaml"

# </create_rai_data>