✨ New features and improvements NEW: doc_cleaner component for removing doc.tensor,doc._._trf_data or other Doc attributes at the end of the pipeline to reduce size of output docs. NEW: ENT_ID and ENT_KB_ID to Matcher pattern attributes. Support kb_id for entities in displaCy from Doc input. Add Span.sents property for spans spanning over more than one sentence. Add EntityRuler.remove to remove patterns by id. Make the Tagger neg_prefix configurable. Use Language.pipe in Language.evaluate for more efficient processing. Test suite updates: move regression tests into core test modules with pytest markers for issue numbers, extend tests for languages with alpha support. 🔴 Bug fixes Fix issue #9638: Make JsonlCorpus path optional again. Fix issue #9654: Fix spancat for empty docs and zero suggestions. Fix issue #9658: Improve error message for incorrect .jsonl paths in EntityRuler. Fix issue #9674: Fix language-specific factory handling in package CLI. Fix issue #9694: Convert labels to strings for README in package CLI. Fix issue #9697: Exclude strings from source vector checks. Fix issue #9701: Allow Scorer.score_spans to handle predicted docs with missing annotation. Fix issue #9722: Initialize parser from reference parse rather than aligned example. Fix issue #9764: Set annotations more efficiently in tagger and morphologizer. 📖 Documentation and examples Various documentation updates: init_tok2vec after pretraining, batch contract for listeners. New additions to the spaCy universe: eng-spacysentiment: Sentiment analysis for English. Applied Language Technology course: NLP for newcomers using spaCy and Stanza. 👥 Contributors @adrianeboyd, @danieldk, @DuyguA, @honnibal, @ines, @ljvmiranda921, @narayanacharya6, @nrodnova, @Pantalaymon, @polm, @richardpaulhudson, @svlandeg, @thiippal, @Vishnunkumar