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How to get data directory path from class DatasetConsumptionConfig?
I am trying to read my data files from an Azure ML dataset. My code is as follows: from azureml.core import Dataset dataset = Dataset.get_by_name(aml_workspace, "mydatasetname") dataset_mount = d...
In Azure ML, the DatasetConsumptionConfig object does not directly expose the mounted path. It is essentially a configuration placeholder that tells the pipeline how to consume the dataset (mount, download, etc.). The actual path only becomes available at runtime inside the compute target when the pipeline step executes.