# Optional ner.correct argument --update error **URL:** \ **Category:** Uncategorized\ **Tags:** ner, done, nightly\ **Created:** [March 19, 2021, 6:01pm UTC](https://support.prodi.gy/t/optional-ner-correct-argument-update-error/4046 "2021-03-19T18:01:02Z")\ **Posts on this page:** 1\ **Showing post:** 5
**Author:** ![ines](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ines/32/3_2.png) [@ines](https://support.prodi.gy/u/ines)\ **Post date:** [April 25, 2021, 5:21am UTC](https://support.prodi.gy/t/optional-ner-correct-argument-update-error/4046/5 "2021-04-25T05:21:07Z")
The new version of Prodigy will unify the training workflow so you won't have to specify `--binary` anymore. However, we still need a small update in spaCy to properly allow updating the components with the respective contstraints defined in the binary feedback, so the results are currently expected to be worse in the nightly. Also see my comment here: > [@sparkles Prodigy nightly: spaCy v3 support, UI for overlapping spans & more](https://support.prodi.gy/t/prodigy-nightly-spacy-v3-support-ui-for-overlapping-spans-improved-feeds-more/3861/34): > > At the moment, we do expect updating from binary annotations to produce worse results with the nightly – sorry about that! There are a few small changes we still need to get into spaCy to allow updating the components with all constraints defined by the binary answers. This is most likely the effect your seeing here and it's the main update we still need to release the stable version of Prodigy for spaCy v3 slightly_smiling_face **Edit:** Just released a new nightly with better support from updating from binary annotations and a fix for the bug mentioned above. > [@sparkles Prodigy nightly: spaCy v3 support, UI for overlapping spans & more](https://support.prodi.gy/t/prodigy-nightly-spacy-v3-support-ui-for-overlapping-spans-more/3861/85): > > Just released a new nightly v1.11.0a10 that includes the following updates: improved support for updating from binary annotations, especially those created with ner.teach ner.teach will now also ask about texts with no entities – so if a suggestion doesn't include any suggestions, you can accept it if it has no entities and reject it if it does contain entities of the given label(s) support for providing --spancat datasets for training spaCy v3.1's new SpanCategorizer in spacy train (with au… --- _[View the full topic](https://support.prodi.gy/t/optional-ner-correct-argument-update-error/4046)._