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You create an Azure Machine Learning datastore containing files in the following paths:
All files have the format: id,f1,f2,l 1,1,2,0 2,1,1,1 3,2,1,0 4,2,2,1
You run the provided code.
You need to create a dataset named training_data
that loads the data from all files into a single DataFrame using the provided code.
Solution: Run the provided code.
Does the solution meet the goal?