dataqa/jupyter-annotate
Interactive Text Annotation for Jupyter Notebook/Lab
This tool helps data scientists and NLP practitioners efficiently label text data directly within Jupyter Notebook or Lab. You input raw text documents and a list of target labels (like 'Organization' or 'Product'), then interactively select text spans and assign labels. The output is structured annotation data, ready for training or evaluating natural language processing models.
No commits in the last 6 months.
Use this if you need to quickly and iteratively annotate text data for entity extraction or other sequence labeling tasks, and prefer to work entirely within your Jupyter environment.
Not ideal if you require advanced annotation features like inter-annotator agreement, complex dependency parsing, or project management capabilities for large annotation teams.
Stars
16
Forks
2
Language
TypeScript
License
BSD-3-Clause
Category
Last pushed
Aug 12, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dataqa/jupyter-annotate"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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