I did some test runs of my NER model over sample data and imported labeled data into Doccano.
I want to find those items where labelling is missing, add labels and mark them for export.
Generally speaking I want to skip those item which are correctly labeled and export only items with handedly corrected or missing labels.
I see that there's a metadat column but it is only can be filled externally, another option would be to delete all good-on-import labeled items but there's no delete button inside annotation view.
Am I missing some possible options here how to do what I want?
Your Environment
Operating System: OS-X
Python Version Used: 3.11
When you install doccano: today
How did you install doccano (Heroku button etc): docker
I did some test runs of my NER model over sample data and imported labeled data into Doccano. I want to find those items where labelling is missing, add labels and mark them for export.
Generally speaking I want to skip those item which are correctly labeled and export only items with handedly corrected or missing labels.
I see that there's a metadat column but it is only can be filled externally, another option would be to delete all good-on-import labeled items but there's no delete button inside annotation view.
Am I missing some possible options here how to do what I want?
Your Environment