Private/sensitive data
Hi all,
Thanks for this fantastic library, it makes it very easy to do prototyping for NLP projects interchangeably between TF/Pytorch. 

Unfortunately, there is data that cannot easily be shared publicly as it may contain sensitive information. 
Is there support/a plan to support such data with NLP, e.g. by reading it from local sources?

Use case flow could look like this: use NLP to prototype an approach on similar, public data and apply the resulting prototype on sensitive/private data without the need to rethink data processing pipelines. 

Many thanks for your responses ahead of time and kind regards,
MFreidank