--- 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](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#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](#data-fields) #### Annotation process see [Data Fields](#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](https://github.com/aleksclark) ### Licensing Information CC-BY ### Citation Information Link it I guess? ### Contributions Thanks to [@aleksclark](https://github.com/aleksclark) for adding this dataset.