def METHOD_NAME(self,  batch_size = 48):
    df = pd.read_csv(self.dataset_path, sep=';', index_col=False)
    x_dim = self.model_args()['in_features']
    x_train = df.iloc[:,:x_dim].values
    y_train = df.iloc[:,-1].values
    train_kwargs = {'batch_size': batch_size, 'shuffle': True}
    data_manager = DataManager(dataset=x_train , target=y_train, **train_kwargs)
    return data_manager