Cache dataset locally

I write a score script to be used in a batch scoring pipeline. I can use `ds.to_pandas_dataframe()` to get a dataframe, and by a bit of parameterizing I can run the script both locally and in-the-cloud. But when I run it locally it downloads the dataset every time. It would be nice if it was possible (maybe default off) to cache the dataset locally for faster execution.