showing no task available even data not yet completely annotated

[ines (Ines Montani)]

Hi! Which recipe are you running? If you're running an active learning-powered recipe like ner.teach or textcat.teach, this is expected – remember that you're annotating the most relevant examples here, so Prodigy will score them and skip some examples in favour of others. In ner.teach, you'll also be seeing lots of different analyses of individual examples.

If your goal is to just annotate every single example in your stream, you probably want to be using a manual recipe. You can find more details in this thread:

"No tasks available" even though there's plenty of samples left

Thanks for the report! Just tested it with your example data and came across the same behaviour. There weren’t any errors either, so I think what might be happening here is the following: textcat.teach scores the stream and tries to only show you the most relevant tasks. Since there are only 100 examples, the “most relevant” selection seems to be only about 10-20%, which means the stream is exhausted after 10-20 examples. This is probably unideal, and we’ll think about the best way to handle t…