metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 356575908.28
      num_examples: 6315
  download_size: 333299098
  dataset_size: 356575908.28
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-sa-3.0
task_categories:
  - text-to-image
language:
  - en
  - ja
tags:
  - kanji
pretty_name: Kanji images with textual descriptions
size_categories:
  - 1K<n<10K

KanjiVG PNG images with textual descriptions

This dataset is an adaptation of KanjiVG by Ulrich Apel. The original SVG files have been converted to 1024x1024 PNG images and enriched with Kanji descriptions of their meaning.

Usage

>>> import datasets
>>> data = datasets.load_dataset("davidstap/kanji_definitions")
>>> data
DatasetDict({
    train: Dataset({
        features: ['image', 'text'],
        num_rows: 6315
    })
})
>>> data['train']
Dataset({
    features: ['image', 'text'],
    num_rows: 6315
})
>>> data['train']['text'][0]
'bamboo rice basket'
>>> data['train']['image'][0]
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1024x1024 at 0x7F1B037E5600>

Note that some kanji characters have multiple meanings, which are separated by commas. You can expand entries to include the same image for each meaning by doing:

>>> new_data = (
...     datasets.Dataset.from_dict(
...         {
...             'image': [img for img, txt in zip(data['train']['image'], data['train']['text']) for _ in txt.split(',')],
...             'text':  [desc.strip() for txt in data['train']['text'] for desc in txt.split(',')]
...         }
...     )
... )
>>> len(new_data)
16168

Modifications from Original

Converted SVG files to 1024x1024 PNG format
Added descriptive text for each Kanji character
Removed numbering from SVG renders
Original vector graphics available at: https://github.com/KanjiVG/kanjivg

Attribution

Original work: KanjiVG by Ulrich Apel
Original repository: https://github.com/KanjiVG/kanjivg
Adaptation by: David Stap