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

Project description

jupyter json annotator

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

Install

pip install jupyter-annotator

Usage

1. Normal usage

from jupyter_annotator import Annotator

problems = [{
    "id": 2,
    "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": "xxxxxxxxxx"
}]

anno = Annotator(problems)
anno.start()

2. Custom fields + skip + filter

  • Custom fields: add custom field in the format (field_name, type, max_length)
  • Skip fields: the fields which will not appear in the form but still in the preview so that they won't be edited.
  • Filter fields: the fields that won't appear either in the form or in the preview
problems = [{
    "id": 2,
    "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": "xxxxxxxxxx"
}]

custom_fields = [("rationale", str, 100)] 
skip_fields = ['id'] 
filter_fields = ["xxx"]

annotator = Annotator(problems, custom_fields=custom_fields, skip_fields=skip_fields, filter_fields=filter_fields)
annotator.start()

References

Project details


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