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Description
This PR adds a new notebook for dataset versioning in Azure Machine Learning. The notebook covers:
Computing a hash for a dataset.
Checking if a dataset with the same hash already exists in Azure ML.
If the dataset does not exist, uploading it to Azure Blob Storage, registering it as an asset, and tagging the asset with the computed hash.
If it exists, retrieving the asset name, version, and tag.
The notebook includes a step to assign a tag to the asset in Azure ML using the computed hash, ensuring version tracking and identification.
Checklist