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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: text |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 2343966.0 |
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num_examples: 1000 |
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download_size: 2314338 |
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dataset_size: 2343966.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- config_name: metadata |
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data_files: metadata.jsonl |
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--- |
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# Dataset Card for Cellular Automata |
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## Dataset Details |
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This dataset contains 1000 labeled images of cellular automata. |
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### Dataset Description |
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[Cellular Automaton](https://mathworld.wolfram.com/ElementaryCellularAutomaton.html) were described by |
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Stephen Wolphram in [A New King of Science](https://www.wolframscience.com/nks/). |
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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. |
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The python library [CellPyLib](https://github.com/lantunes/cellpylib) was used to generate the labeled images. |
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- **Curated by:** Kathy McGuiness |
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## Uses |
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One toy use-case is fine-tuning the [aMUSEd](https://huggingface.co/blog/amused) model. |
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## Dataset Creation |
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The dataset was created as a demo on how on to create a labeled image dataset. |
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