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Update README.md

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@@ -10,7 +10,7 @@ The dataset is structured as follows:
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  - **Phases**: Different phases for each task (e.g., Phase1, Phase2).
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  - **Types**: Training and testing data (e.g., train_x, train_y, test_x, test_y, train, test).
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- Each row in the dataset represents a trial, with features and labels provided for prediction tasks.
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  ## Usage
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@@ -32,8 +32,4 @@ if __name__ == '__main__':
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  for task, phase, type_, table in zip(dataset['task'], dataset['phase'], dataset['type'], dataset['data']):
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  table = pd.DataFrame.from_dict(eval(table, {'nan': np.nan}))
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  table_name = f"{task}_{phase}_{type_}"
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- data[table_name] = table
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-
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-
 
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  - **Phases**: Different phases for each task (e.g., Phase1, Phase2).
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  - **Types**: Training and testing data (e.g., train_x, train_y, test_x, test_y, train, test).
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+ Each row in the dataset represents a file, with features or labels provided for prediction tasks.
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  ## Usage
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  for task, phase, type_, table in zip(dataset['task'], dataset['phase'], dataset['type'], dataset['data']):
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  table = pd.DataFrame.from_dict(eval(table, {'nan': np.nan}))
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  table_name = f"{task}_{phase}_{type_}"
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+ data[table_name] = table