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@@ -40,11 +40,10 @@ From this point, you can configure and run your policy training using all the mo
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  ## Policy Configuration
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  You can create a yaml file within the folder `lerobot/configs/policy/`. For example `robograsp2024_submission_model.yaml`.
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  Within the the yaml file you can configure the input/output data shapes, data normalization strategies, context length and policy parameters.
 
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- Some parts of the yaml file will be dependant on this dataset. Here are working configurations for the input and output structure:
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  These go at the beginning of the yaml:
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  ```yaml
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  seed: 100000
 
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  ## Policy Configuration
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  You can create a yaml file within the folder `lerobot/configs/policy/`. For example `robograsp2024_submission_model.yaml`.
 
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  Within the the yaml file you can configure the input/output data shapes, data normalization strategies, context length and policy parameters.
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+ Some parts of the yaml file will be dependant on this dataset. Thus, we provide the parameters necessary to use this dataset.
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+ Here are working configurations for the input and output structure:
 
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  These go at the beginning of the yaml:
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  ```yaml
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  seed: 100000