Hello! We started from ner.manual annotating 10 custom entities and faced with the following issue trying to train a NER model:
UserWarning: [W030] Some entities could not be aligned in the text "The apartments are nice, quiet and peaceful. Every..." with entities "". Use `spacy.gold.bil uo_tags_from_offsets(nlp.make_doc(text), entities)` to check the alignment. Misa ligned entities (with BILUO tag '-') will be ignored during training.
prodigy train ner reviews_20210420_annotated_sample blank:en --ner-missing
Could you please point to the guid how to annotate data so entities will be aligned with tokens?
Running the same command w/o --ner-missing disables the warning