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---
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.
# Usage
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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