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README.md

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----
-license: mit
----
+
+# 1D Cellular Automata Dataset
+
+## Structure
+
+- `rule`: The rule number in binary format
+- `t=0`, `t=1`, ..., `t=T`: The states of the CA at each timestep
+
+## Splits
+
+- Training: 80%
+- Validation: 10%
+- Test: 10%
+
+## Parameters:
+
+| Parameter         | Description                                |
+|-------------------|--------------------------------------------|
+| r (int): `1`    | The radius of the CA rule.                 |
+| size (int): `125` | The number of cells in the CA.             |
+| T (int): `5`    | The number of steps for the CA to evolve.  |
+| num_samples (int): `100000` | The number of samples in the dataset. |
+

train.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7b658e75e9016f744fd88785bc2e6a54967a4306299f7972505a02dfb25d70e6
+size 55200000