You plan to run a Python script as an Azure Machine Learning experiment. The script contains the following code:

from azureml.core import Dataset, Run

run = Run.get_context()
ds = run.input_datasets['images']
# Additional script logic to process the dataset

from azureml.core import Dataset, Run

run = Run.get_context()
ds = run.input_datasets['images']
# Additional script logic to process the dataset

You must specify a file dataset as an input to the script. The dataset consists of multiple large image files and must be streamed directly from its source.

You need to write code to define a ScriptRunConfig object for the experiment and pass the ds dataset as an argument.

Which code segment should you use?