First of all, thanks for the amazing spans.manual tool in the nightly version, it's really amazing. I've used spans.manual to annotate overlapping labels. Now, I want to train a model using these annotations to predict overlapping labels in other datasets. Is there away to do it in prodigy nightly or I have to use the SpanCategorizer in spacy?
And secondly, do I need to train alot of examples in the model to be able to start predicting or few example (~60 examples) would be enough, because i tried using the --spancat to train a model, but when testing it on some dataset, it couldn't predict anything.
Thanks for the help.