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I use the next command to save output results:

ws.datasets.add_from_dataframe(data, 'GenericCSV', 'output.csv', 'Uotput results')

where ws is azureml.Workspace object and data is pandas.DataFrame.

It works fine if my dataset size less than 4 mb. Otherwise I got a error:

AzureMLHttpError: Maximum request length exceeded.

As I understood this is the error raised by Azure environment limits and the maximum size of the dataset could not be changed.

I could split my dataset to 4 MB parts and download them from Azure ML studio, but it is very inconvenient if the size of my output dataset is more than 400 MB.

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You can use Notebooks to upload your data. 

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