Creating a file dataset from a single directory in datastore requires azureml-dataset-runtime?

从 FileDatasetFactory.from_files 的文档示例和 FileDataset.as_mount 入口点开始，然后检查该示例在 Python 3.11 和 azureml-dataset-runtime 依赖项下的行为。完成的标准是：文档所述的单目录工作流具有受支持的运行时和依赖项路径，或者文档清楚地说明限制以及一种替代的挂载方法。

I am trying to create a file dataset from a single directory in datastore. Im following the code block from

https://learn.microsoft.com/en-us/python/api/azureml-core/azureml.data.dataset_factory.filedatasetfactory?view=azure-ml-py#azureml-data-dataset-factory-filedatasetfactory-from-files

Specifically,

from azureml.core import Dataset, Datastore

 # create file dataset from a single file in datastore
 datastore = Datastore.get(workspace, 'workspaceblobstore')

 # create file dataset from a single directory in datastore
 file_dataset_2 = Dataset.File.from_files(path=(datastore, 'image/'))

However, when I try to replicate these steps for my own Datastore, I encounter an Import Error

ImportError: Missing required package "azureml-dataset-runtime", which can be installed by running: "c:\Users\<user>\.conda\envs\<my-conda-env-name>\python.exe" -m pip install azureml-dataset-runtime --upgrade

I am on Python 3.11.3 and I tried installing azureml-dataset-runtime but I encounter a dependency clash which requires me to downgrade to Python 3.8.

Furthermore, from the PyPI page

https://pypi.org/project/azureml-dataset-runtime/

It states that azureml-dataset-runtime is "is internal, and is not intended to be used directly."

Is this intended? I am trying to mount my data for a custom ML training job, using the as_mount function from the FileDataset Class. Please let me know if there is a better alternative to mounting data, or am I forced to use Python 3.8?

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• ID: 091afd7e-72ca-a384-01db-4da4d40a6734
• Version Independent ID: 0f3783bf-ab1f-f0d6-08f3-90becae914e8
• Content: azureml.data.dataset_factory.FileDatasetFactory class - Azure Machine Learning Python
• Content Source: AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.FileDatasetFactory.yml
• Service: machine-learning
• Sub-service: core
• GitHub Login: @DebFro
• Microsoft Alias: debfro