Hi Vincent,
Thank you very much for reply.
Perhaps I didn't specify clearly, but I was looking for a way to go over and re-review the ignored/flagged cases. I.e. I already have already retrieved all the ignored instances into a dataset in a similar manner to the one you described.
I was looking for the way in which I may re-review the ignored cases and subsequently add it to the other dataset. The review recipe seems to only let you specify multiple datasets, as opposed to running it on a single, already-reviewed dataset.
However, luckily I found a solution after some additional searching around. For anyone who might come across the post, this is the solution:
Python:
from prodigy.components.db import connect
db = connect()
examples = db.get_dataset("gold-multi-all")
accepted = [e for e in examples if e["answer"] == "accept"]
db.add_examples(accepted, ["gold-multi-accepted"])
ignored = [e for e in examples if e["answer"] == "ignore"]
db.add_examples(ignored, ["gold-multi-ignored"])
CLI:
prodigy mark gold_multi_ignored_resolved dataset:gold-multi-ignored --view-id review
prodigy db-merge gold-multi-accepted,gold_multi_ignored_resolved gold-multi