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---
license: mit
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 2343966.0
num_examples: 1000
download_size: 2314338
dataset_size: 2343966.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- config_name: metadata
data_files: metadata.jsonl
---
# Dataset Card for Cellular Automata
## Dataset Details
This dataset contains 1000 labeled images of cellular automata.
### Dataset Description
[Cellular Automaton](https://mathworld.wolfram.com/ElementaryCellularAutomaton.html) were described by
Stephen Wolphram in [A New King of Science](https://www.wolframscience.com/nks/).
Imagine you have a grid, like a checkerboard. Each square in the grid has a state - on or off, with the state of the square determining its color. There are rulesets (256 of them) that describe how the squares change their state depending on what's happening around them.
The python library [CellPyLib](https://github.com/lantunes/cellpylib) was used to generate the labeled images.
- **Curated by:** Kathy McGuiness
## Uses
One toy use-case is fine-tuning the [aMUSEd](https://huggingface.co/blog/amused) model.
## Dataset Creation
The dataset was created as a demo on how on to create a labeled image dataset.
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