spacy 3.0.4

v3.0.4: Fix tok2vec pretraining, source disabled components, better UX and bug fixes

on Python PyPI

✨ New features and improvements

• Allow sourcing disabled components in config.
• Support Doc.spans in Example.from_dict.
• Improve transformer recommendations in quickstart widget and init config.
• Improve language data for Bulgarian.
• Various improvements to error handling and UX.

🔴 Bug fixes

• Fix issue #6952, #7285, #7289: Make tok2vec pretraining and pretrain command work as expected again.
• Fix issue #7062: Only evaluate named entities for NEL if there is a corresponding gold span.
• Fix issue #7065: Correctly handle sentence boundaries in Span.sent.
• Fix issue #7071: Fix conll converter option.
• Fix issue #7100: Re-add n_sents to entity linker and fix config handling and I/O.
• Fix issue #7122: Fix displaCy output in evaluate CLI.
• Fix issue #7127: Fix initialization of UkrainianLemmatizer.
• Fix issue #7176: Re-refactor Sentencizer to use Pipe API.
• Fix issue #7182: Allow SpanGroup import from spacy.tokens.
• Fix issue #7204: Adjust Cython compilation for setups with custom include paths.
• Fix issue #7222: Correct YAML formatting in quickstart recommendations for bg and bn.
• Fix issue #7225: Fix spans weakref in Doc.copy.
• Fix issue #7237: Fix is_cython_func for additional imported code.
• Fix issue #7250: Fix patience for identical scores.
• Fix issue #7329: Make spacy.orth_variants.v1 and spacy.lower_case.v1 augmenters work as expected.
• Fix issue #7352: Sort EntityRuler.labels alphabetically.

📖 Documentation and examples

• Add documentation for textcat_multilabel component.
• Extend documentation for Vocab.get_noun_chunks.
• Fix various typos and inconsistencies.

👥 Contributors

Thanks to @MartinoMensio, @SergeyShk, @R1j1t, @palandlom, @dardoria, @tocic, @clippered, @graue70, @koaning and @jankrepl for the pull requests and contributions!