jupyter-annotator 1.1.1

This package provides an annotation UI for arbitrary dataset in json format.

jupyter json annotator

This package provides an annotation UI for arbitrary dataset in json format.

Install

pip install jupyter-annotator

Usage

# Normal usage
from jupyter_annotator import Annotator
problems = [{
    "problem": "Where would I not want a fox? (a problem from coommonsenseQA)",
    "options": {
        "a": "hen house", "b": "england", "c": "mountains", "d": "english hunt", "e": "california"
    },
    "answer": "a"
}]

annotator = Annotator(problems)
annotator.start()

# Add custom fields
from jupyter_annotator import Annotator
problems = [{
    "problem": "What is the perimeter of a rectangular field whose diagonal is 5 m and width is 3 m ?",
    "options": {
        "a":"20 m", "b":"15 m", "c":"14 m", "d":"10 m", "e":"25 m"
    },
    "answer": "c"
}]

custom_fields = [("rationale", str, 100)] # (field_name, type, max_length)
annotator = Annotator(problems, custom_fields=custom_fields)
annotator.start()

# Skip fields
from jupyter_annotator import Annotator
problems = [{
    "id": 1,
    "problem": "Where would I not want a fox? (a problem from coommonsenseQA)",
    "options": {
        "a": "hen house", "b": "england", "c": "mountains", "d": "english hunt", "e": "california"
    },
    "answer": "a"
}]

filtered_fields = ['id'] 
annotator = Annotator(problems, filtered_fields=filtered_fields)
annotator.start()

• Normal Usage

• Add custom fields

• Skip fields

References

• Jupyter Widgets - Using Interact
• jupyter-innotater