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?