|
--- |
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dataset_info: |
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- config_name: mixed |
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features: |
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- name: svg |
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dtype: string |
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- name: png |
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dtype: image |
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- name: layer_mask |
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dtype: image |
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- name: object_mask |
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dtype: image |
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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 |
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features: |
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- name: svg |
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dtype: string |
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- 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: |
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- name: train |
|
num_bytes: 11459654 |
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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 |
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|
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## Table of Contents |
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- [Table of Contents](#table-of-contents) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
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|
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## Dataset Description |
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|
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- **Homepage:** https://eezy.com |
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### Dataset Summary |
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|
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This is a synthetic dataset containing randomly-generated SVGs with various shapes |
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### Supported Tasks and Leaderboards |
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|
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NA |
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### Languages |
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NA |
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|
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## Dataset Structure |
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|
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The dataset is composed of 4 base domains, plus a 'mixed' domain that is a superset of the other 4: |
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* `circles` - only circles |
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* `squares` - only squares |
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* `squares_and_circles` - circles and squares present in the same svg |
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* `scer` - squares, circles, ellipses, and rectangles present in the same svg |
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* `mixed` - an aggregation of all of the above |
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### Data Instances |
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There's stuff there |
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|
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### Data Fields |
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Each example has 4 fields: |
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* `svg` - the raw svg as a string |
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* `png` - a raster rendering of the svg with a white background |
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* `object_mask` - a black/white mask that defines the outlines of the svg objects |
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* `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 |
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|
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### Data Splits |
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|
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Train & validation include the layer and object masks, test does not |
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|
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## Dataset Creation |
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Generated by randomly inserting objects into an SVG. |
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### Curation Rationale |
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Objects should have at least 50% of their bounding box visible - i.e. no big circle completely obscuring a little circle |
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|
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### Source Data |
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|
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`/dev/urandom` |
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|
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#### Initial Data Collection and Normalization |
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|
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NA |
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|
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#### Who are the source language producers? |
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NA |
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|
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### Annotations |
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|
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see [Data Fields](#data-fields) |
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#### Annotation process |
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see [Data Fields](#data-fields) |
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#### Who are the annotators? |
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|
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Imagemagick/pysvg |
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### Personal and Sensitive Information |
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|
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Unlikely |
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|
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## Considerations for Using the Data |
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|
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Please do not use for world domination. |
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|
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### Social Impact of Dataset |
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NA |
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|
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### Discussion of Biases |
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|
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Dataset is highly biased against triangles and concave shapes |
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|
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### Other Known Limitations |
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|
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Color selection is pretty limited. |
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|
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## Additional Information |
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|
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### Dataset Curators |
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|
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[Aleks Clark](https://github.com/aleksclark) |
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|
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### Licensing Information |
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|
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CC-BY |
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|
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### Citation Information |
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|
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Link it I guess? |
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|
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### Contributions |
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|
|
Thanks to [@aleksclark](https://github.com/aleksclark) for adding this dataset. |
|
|
