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GlyphByT5/GlyphByT5Pretraining

GlyphByT5 Pretraining This is the pretraining data for Glyph-ByT5. Dataset Details Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text RenderingZeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan Microsoft Research Asia; Tsinghua University; Peking University; The Australian National UniversityPreprint Dataset Structure This dataset contains a json file containing the annotation file needed for Glyph-ByT5… See the full description on the dataset page: https://huggingface.co/datasets/GlyphByT5/GlyphByT5Pretraining.

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Dataset Card

GlyphByT5 Pretraining

This is the pretraining data for Glyph-ByT5.

Dataset Details

**Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering** Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan Microsoft Research Asia; Tsinghua University; Peking University; The Australian National University Preprint

Dataset Description

  • Repository: [https://github.com/AIGText/Glyph-ByT5]
  • Paper: [https://arxiv.org/abs/2403.09622]
  • Project Page: [https://glyph-byt5.github.io/]

Dataset Structure

This dataset contains a json file containing the annotation file needed for Glyph-ByT5 pretraining. The json file is organized as a list of dicts. Each dict contains the following fields:

Note: As font family and color are randomly selected during pretraining, 'color' and 'font-family' fields are None and later filled randomly in the corresponding dataset code.

Currently, we release a subset of fonts that we use, containing 100 with free commercial use license, see repo for more details.

{
  'texts': [
    text_1,
    ...
    text_k,
  ],
  'styles': [
    {
      'color': color_1,
      'font-family': 'font_1',
    },
    ...
    {
      'color': color_k,
      'font-family': 'font_k',
    },
  ],
  'bbox': [
    [x1, y1, w1, h1, a1],
    ...
    [xk, yk, wk, hk, ak],
  ]
}