Skip to content

Instantly share code, notes, and snippets.

@LouisdeBruijn

LouisdeBruijn/nested_text_data.py

Last active December 31, 2020 11:01
Show Gist options

  • Select an option

    Learn more about clone URLs
  • Save LouisdeBruijn/3c64bd5982fba8304eab01b0be532ee2 to your computer and use it in GitHub Desktop.

Select an option

Learn more about clone URLs
Save LouisdeBruijn/3c64bd5982fba8304eab01b0be532ee2 to your computer and use it in GitHub Desktop.
Download ZIP
Raw
nested_text_data.py
data = [
{'text': 'I am currently an employee of ING bank.', 'entities': [{'start': 30, 'end': 38, 'label': 'ORGANIZATION', 'text': 'ING bank'},
{'text': 'Named Entity Recognitions finds all named entities, such as the Netherlands, in a given sentence.', 'entities': [{'start': 60, 'end': 75, 'label': 'LOCATION', 'text': 'the Netherlands'}
]
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment