dataqa/jupyter-annotate

Interactive Text Annotation for Jupyter Notebook/Lab

31
/ 100
Emerging

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.

text-annotation named-entity-recognition NLP-data-labeling machine-learning-engineering data-preparation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 9 / 25

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Stars

16

Forks

2

Language

TypeScript

License

BSD-3-Clause

Last pushed

Aug 12, 2022

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dataqa/jupyter-annotate"

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