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Update README.md

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@@ -38,7 +38,7 @@ The run was preprocessed with [mllam-data-prep](https://github.com/mllam/mllam-d
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  ```
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  mllam_data_prep data_small/vlasiator_run.yaml
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  ```
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- This produces training-ready Zarr stores in the `data_small` directory.
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  Simple, multiscale, and hierarchical graphs are included already, but can be created using the following commands:
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  ```
 
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  ```
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  mllam_data_prep data_small/vlasiator_run.yaml
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  ```
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+ This produces a training-ready Zarr store in the `data_small` directory.
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  Simple, multiscale, and hierarchical graphs are included already, but can be created using the following commands:
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  ```