---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: color
    dtype:
      class_label:
        names:
          '0': black
          '1': blue
          '2': cyan
          '3': green
          '4': purple
          '5': red
          '6': white
          '7': yellow
  - name: shape
    dtype:
      class_label:
        names:
          '0': circle
          '1': diamond
          '2': rectangle
          '3': triangle
  splits:
  - name: train
    num_bytes: 95525474
    num_examples: 640
  download_size: 95526422
  dataset_size: 95525474
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: mit
task_categories:
- image-classification
language:
- en
tags:
- tutorial
size_categories:
- 10M<n<100M
sources:
- url: https://github.com/sdtemple/zootopia3
  name: Simulation Script Source
---

This dataset is generated as a part of a tutorial on fitting PyTorch models. The tutorial is at [github.com/sdtemple/zootopia3](https://github.com/sdtemple/zootopia3).

You can generate your own data with [answers/simulation-exercise.ipynb](https://github.com/sdtemple/zootopia3/blob/main/answers/simulate-exercise.ipynb) at the repo.

Treat this as held-out test data, with 20 examples for each shape (4) and color (8) combo.