Lab 2 - Data
# Create a directory
mkdir data
cd data
# Download the data and validation set
wget https://github.com/hnky/dataset-lego-figures/raw/master/_download/train-and-validate.zip
# Unzip the dataset
unzip train-and-validate.zip
# remove the zip file
rm train-and-validate.zip
# Go back to the root of your project
cd ..
code data.yml
Add this content to the file
$schema: https://azuremlschemas.azureedge.net/latest/dataset.schema.json
name: LegoSimpsons
version: 1
datastore: azureml:workspaceblobstore
local_path: ./data
Now run the CLI command to upload the data to your default datastore and create the dataset
az ml data create -f data.yml
To see if the dataset is created you can list all the datasets in your workspace with the command below.
az ml data list --output table
Now you have versioned dataset of Simpson Images in your Azure Machine Learning Workspace
- Downloaded the dataset
- Unzipped the dataset
- Create a dataset configuration file in YAML
- Used the CLI to create the dataset in Azure Machine Learning