Update README.md
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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
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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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```
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