Microsoft Graph Data Connect for SharePoint is Generally Available
General Availability (GA) for Microsoft Graph Data Connect was announced on August 2023, about two years ago. Details can be found at Microsoft Graph Data Connect updates. At that time, the SharePoint datasets for Microsoft Graph Data Connect entered public preview. As of July 2025, Microsoft Graph Data Connect for SharePoint, which includes datasets for OneDrive and SharePoint, has reached General Availability (GA), following an extended public preview period. There are no changes to the datasets or features at this time. For more information about the datasets, visit https://aka.ms/OneDriveAndSharePointDatasets.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 = dataset.as_named_input("mydatasetname").as_mount(path_on_compute="dataset") The type of dataset_mount is class DatasetConsumptionConfig. How do I get the actual directory path from that class? I can do it in a very complicated manner by passing the dataset_mount into a script as follows: PythonScriptStep(script_name="myscript.py", arguments=["--dataset_mount", dataset_mount], ...) Then, when that script step is run, "myscript.py" mysteriously gets the real directory path of the data in the argument "dataset_mount", instead of it being DatasetConsumptionConfig. However, that's an overcomplicated and strange approach. Is there any direct way to get the data path from DatasetConsumptionConfig? Or maybe I have misunderstood something here?
