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@git-emoji/dataset-js

v0.0.10

Published

Emoji data and contextual emoji data

Readme

Git-Emoji Dataset 📑

This repository contains emoji data and contextual keywords associated with them. It is meant to be used, by everyone, who needs a reference dataset of emojis applicable in git commit messages.

Note that the main branch may get updated at any time without notice.

Installation

npm install @git-emoji/dataset-js

Usage

const dataset = require('@git-emoji/dataset-js')
// or
import * as dataset from '@git-emoji/dataset-js'

Three kind of data are available in this package:

  • Emoji data
  • Contextual data
    • v1
    • v2
  • Word data

Emoji data

Emoji data are available under the dataset.emoji field:

// nodejs REPL
> dataset.emoji._bug
{ s: '🐛', id: 'bug' }
> Object.keys(dataset.emoji).length
308

Contextual data

Contextual emoji data are also available. Contextual emoji data describe the association between keywords and emojis. You can find them as an array assigned to the fields dataset.context and dataset.contextV2.

Note that, the v2 revision has more focused and to-the-point entries, as opposed to the first version (v1) where associations are rather generic and multi-purpose.

This is an example of the contextual data (detailed result might be different):

// nodejs REPL
> dataset.context.length
48
> dataset.context[0]
{
  keyword: [
    'bogus',     'bug',
    'bugfix',    'correct',
    'erroneous', 'fix',
    'incorrect', 'patch',
    'wrong'
  ],
  emoji: [
    { s: '🐞', id: 'beetle' },
    { s: '🐛', id: 'bug' },
    { s: '🗜', id: 'clamp' },
    { s: '🔨', id: 'hammer' },
    { s: '🔧', id: 'wrench' }
  ]
}

Word data

Since words may have other variants with the same semantics, there's the words dataset in the package to help identify other variants. This data is accessible through the dataset.word property:

// nodejs REPL
> dataset.word.authorize
{ cover: [ 'authorizing', 'authorization' ], tag: [ 'verb' ] }
> dataset.word.good
{ cover: [], tag: [] }
> Object.keys(dataset.word).length
373

Thank you

Feel free to submit PRs and improve the dataset with your taste. 🍏