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--- |
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language: |
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- en |
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license: mit |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text-generation |
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pretty_name: SVGEN RJU |
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dataset_info: |
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features: |
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- name: description |
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dtype: string |
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- name: image |
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struct: |
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- name: bytes |
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dtype: binary |
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- name: path |
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dtype: 'null' |
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- name: svg |
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dtype: string |
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- name: uuid |
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dtype: string |
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- name: json |
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dtype: string |
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- name: source |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 3151387335 |
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num_examples: 216275 |
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download_size: 1843399077 |
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dataset_size: 3151387335 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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tags: |
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- art |
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- code |
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--- |
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# SVGEN RJU - SVGEN 500k: Rasterized, JSONified, UUID'ed |
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I have selected every svg image from svgen that would rasterize under cairosvg, which is significantly less than a 1% failure rate. Under development. |
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# Reasoning |
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This is the 1st of many SVG datasets I am collecting, extracting, and rasterizing in an attempt to produce a meaningfully helpful spatial reasoning and vertex manipulation model. |
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# Usage |
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The rasterized images are in PNG format, as bytes. They may be extracted through the creation of an `io.BytesIO` instance on the bytes then running `Image.open` on the byte stream. They could also be written to disk first for convenience and storage. |
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