It's possible create a dataset in document ai processor and import documents via python API?

Question

It's possible, to do the steps in the below guide, using the Python API? I saw some documentation about creating processors and training processors via Python API. But, none about creating the dataset and importing documents in the processor.

https://cloud.google.com/document-ai/docs/workbench/create-dataset

Documentations that I already know:

• Train processors: https://cloud.google.com/document-ai/docs/workbench/train-processor

• Manipulation of processors: https://cloud.google.com/document-ai/docs/samples/documentai-create-processor

Answer 1

UPDATE: There are now exposed API methods to create datasets and import documents using the v1beta3 endpoint.

Similar answer as Train a custom classifier on Document AI through API

There's not currently an exposed API method to create datasets, import documents, or label documents. This all must be done through the UI.