correcting bad labels for NER with Jupyter and prodigy

[koaning (Vincent D Warmerdam)]

Prodigy is an append only annotation tool, as explained here.

What is the best way to correct an annotation?

Hello, I have exported the annotations using db-out recipe. The person who created the annotations made mistakes, I must fix them before training. What is the best way to fix an annotation using prodigy? Should i pass the input_hash/task_hash somewhere to load the wrong annotation and then correct/save it ? Thank you

So the most "straightforward" way to get an improved dataset is to use the old dataset as input for the new one. Another option might be to use the review recipe here?