Private/sensitive data
Hi @MFreidank, you should already be able to load a dataset from local sources, indeed. (ping @lhoestq and @jplu)

We're also thinking about the ability to host private datasets on a hosted bucket with permission management, but that's further down the road.
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
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 
 Hi @MFreidank, you should already be able to load a dataset from local sources, indeed. (ping @lhoestq and @jplu)

We're also thinking about the ability to host private datasets on a hosted bucket with permission management, but that's further down the road.