Hi! Prodigy's input and output formats are the same, so you can always export a dataset to a JSONL file using
db-out, and then load that back into Prodigy as the text source. Recipes like
ner.manual will respect pre-set spans, so you'll be able to go through your existing annotations again and correct them if needed. Just make sure to use a new dataset for the reviewed annotations, so you're not mixing old and new data and can easily start over if something goes wrong.
If your data includes duplicates, e.g. annotations on the same text created by multiple annotators, and you want to merge them and resolve conflicts, you can also use the
review recipe. This will show you all annotations on the same text and lets you create one final "master annotation". But this really only makes sense if you have multiple annotations on the same data – otherwise it's overkill.