magdaaniol
January 18, 2024, 8:57am
13
Hi @Morten and welcome to the forum
To the best of my knowledge we don't have a demo of a project with high number of labels. I admit it would be a very useful resource for many users so adding it to the backlog!
In the meantime, this forum already has a number of threads on the topic that can hopefully be useful.
E.g.
I have a textcat task where I have ~20 labels. Due to the many labels I prefer view_id: classification but with the possibility to change the suggested label. Is that possible? The view_id: choice isn't really convenient with 10+ labels - both visually and since the keyboard shortcuts doesn't work for all labels.
I'd imagine this is a very common task so I wonder if somebody have come up with a good recipe?
How are your labels structured, are they hierarchical? If you're annotating with this many labels, we'd usually recommend breaking up the task and start by annotating the top level categories first, since those are usually the most important. If at every step you have to think about 200+ decisions, this will slow down the process a lot and you'll probably end up with a lot of categories that are underrepresented (or not represented) in the data, which is also going to be difficult to fix with ju…
Hello,
We plan to use Prodigy for NER, however we have around 40 different entities to extract from large documents (+20 pages). We split the document per pages, however the UI does not seem to handle well all these entities-> the 40 entities hides the text to annotate so that that UI is not usable.
Is there a workaround, like an option to put the entities of the side instead of above the text?
