I'm working with an instance of ACUMOS platform, Clio release. I must use Jupyter notebooks in ACUMOS to analyze and prepare data for subsequent modelling. The only way I found until now to get the data in my notebooks is by uploading the files from the Jupyter homepage, and then copying the path and importing them from the notebook by using pandas.read_csv(path)
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The point is that I'd like to have the data files visible from ACUMOS, in a kind of data repository, for instance from ML Workbench, but I don't know how to do it and if it is possible. Of course it would be more appropriate getting the files uploaded directly to ACUMOS and then reading them in the notebooks from there.
Is there any way to do this?