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metadata
language:
  - en
license: mit
size_categories:
  - 100K<n<1M
task_categories:
  - text-generation
pretty_name: SVGEN RJU
dataset_info:
  features:
    - name: description
      dtype: string
    - name: image
      struct:
        - name: bytes
          dtype: binary
        - name: path
          dtype: 'null'
    - name: svg
      dtype: string
    - name: uuid
      dtype: string
    - name: json
      dtype: string
    - name: source
      dtype: string
  splits:
    - name: train
      num_bytes: 3151387335
      num_examples: 216275
  download_size: 1843399077
  dataset_size: 3151387335
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
tags:
  - art
  - code

SVGEN RJU - SVGEN 500k: Rasterized, JSONified, UUID'ed

I have selected every svg image from svgen that would rasterize under cairosvg, which is significantly less than a 1% failure rate. Under development.

Reasoning

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.