Introducing Span Categorization in Prodigy and spaCy 

Prodigy is a modern annotation tool for collecting training data for machine learning models, developed by the makers of spaCy. In this video, we'll show you how to use Prodigy for spaCy's Span Categorizer. We'll be annotating food recipes and looking into ways to help with consistent annotations and speed up the process with patterns and temporary models.
[00:00] Intro
[00:28] How spancat works
[01:23] NER vs spancat
[02:42] Food recipes dataset
[04:29] JSONL file
[05:09] spaCy project
[05:21] spans.manual
[07:20] Instruction files in Prodigy
[08:45] Pattern files in Prodigy
[10:15] Training temporary models
[11:35] spans.correct
[12:30] data-to-spacy
[12:57] Outro
PRODIGY
● Website & docs: prodi.gy
● Live demo: prodi.gy/demo
● Forum: support.prodi.gy
THIS TUTORIAL
● Spancat blogpost explosion.ai/b...
● SpaCy Project: github.com/exp...
● Food.com dataset: www.kaggle.com...
FOLLOW US
● Explosion: / explosion_ai
● We offer new services! spaCy Custom Solutions✨ explosion.ai/c...