README.md

metadata

dataset_info:
  - config_name: mixed
    features:
      - name: svg
        dtype: string
      - name: png
        dtype: image
      - name: layer_mask
        dtype: image
      - name: object_mask
        dtype: image
    splits:
      - name: train
        num_bytes: 44979830
        num_examples: 32000
      - name: validation
        num_bytes: 5629432
        num_examples: 4000
      - name: test
        num_bytes: 4389077
        num_examples: 4000
    download_size: 510689903
    dataset_size: 54998339
  - config_name: circles
    features:
      - name: svg
        dtype: string
      - name: png
        dtype: image
      - name: layer_mask
        dtype: image
      - name: object_mask
        dtype: image
    splits:
      - name: train
        num_bytes: 10970618
        num_examples: 8000
      - name: validation
        num_bytes: 1373482
        num_examples: 1000
      - name: test
        num_bytes: 1070432
        num_examples: 1000
    download_size: 220171148
    dataset_size: 13414532
  - config_name: squares
    features:
      - name: svg
        dtype: string
      - name: png
        dtype: image
      - name: layer_mask
        dtype: image
      - name: object_mask
        dtype: image
    splits:
      - name: train
        num_bytes: 11349095
        num_examples: 8000
      - name: validation
        num_bytes: 1424342
        num_examples: 1000
      - name: test
        num_bytes: 1115270
        num_examples: 1000
    download_size: 31759345
    dataset_size: 13888707
  - config_name: squares_and_circles
    features:
      - name: svg
        dtype: string
      - name: png
        dtype: image
      - name: layer_mask
        dtype: image
      - name: object_mask
        dtype: image
    splits:
      - name: train
        num_bytes: 11459654
        num_examples: 8000
      - name: validation
        num_bytes: 1431454
        num_examples: 1000
      - name: test
        num_bytes: 1096945
        num_examples: 1000
    download_size: 128738219
    dataset_size: 13988053
  - config_name: scer
    features:
      - name: svg
        dtype: string
      - name: png
        dtype: image
      - name: layer_mask
        dtype: image
      - name: object_mask
        dtype: image
    splits:
      - name: train
        num_bytes: 11200463
        num_examples: 8000
      - name: validation
        num_bytes: 1400154
        num_examples: 1000
      - name: test
        num_bytes: 1106430
        num_examples: 1000
    download_size: 130021191
    dataset_size: 13707047

Dataset Card for BasicShapes10K

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://eezy.com

Dataset Summary

This is a synthetic dataset containing randomly-generated SVGs with various shapes

Supported Tasks and Leaderboards

NA

Languages

NA

Dataset Structure

The dataset is composed of 4 base domains, plus a 'mixed' domain that is a superset of the other 4:

• circles - only circles
• squares - only squares
• squares_and_circles - circles and squares present in the same svg
• scer - squares, circles, ellipses, and rectangles present in the same svg
• mixed - an aggregation of all of the above

Data Instances

There's stuff there

Data Fields

Each example has 4 fields:

• svg - the raw svg as a string
• png - a raster rendering of the svg with a white background
• object_mask - a black/white mask that defines the outlines of the svg objects
• layer_mask - a greyscale mask that defines layers of svg objects - overlap regions are brighter. Created by making all the objects white and semi-transparent

Data Splits

Train & validation include the layer and object masks, test does not

Dataset Creation

Generated by randomly inserting objects into an SVG.

Curation Rationale

Objects should have at least 50% of their bounding box visible - i.e. no big circle completely obscuring a little circle

Source Data

/dev/urandom

Initial Data Collection and Normalization

NA

Who are the source language producers?

NA

Annotations

see Data Fields

Annotation process

see Data Fields

Who are the annotators?

Imagemagick/pysvg

Personal and Sensitive Information

Unlikely

Considerations for Using the Data

Please do not use for world domination.

Social Impact of Dataset

NA

Discussion of Biases

Dataset is highly biased against triangles and concave shapes

Other Known Limitations

Color selection is pretty limited.

Additional Information

Dataset Curators

Aleks Clark

Licensing Information

CC-BY

Citation Information

Link it I guess?

Contributions

Thanks to @aleksclark for adding this dataset.