[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:df_gender_age_test = pd.read_csv('../input/gender_age_test.csv', dtype={'device_id': np.str})\ndf_gender_age_train = pd.read_csv('../input/gender_age_train.csv', dtype={'device_id': np.str})\n\ndf_app_events = pd.read_csv('../input/app_events.csv', dtype={'app_id': np.str})\ndf_events = pd.read_csv('../input/events.csv', dtype={'device_id': np.str})\n\ndf_app_labels = pd.read_csv('../input/app_labels.csv', dtype={'app_id': np.str})\ndf_label_categories = pd.read_csv('../input/label_categories.csv')\n\ndf_phone_brands = pd.read_csv('../input/phone_brand_device_model.csv', dtype={'device_id': np.str})"}, {'role': 'assistant', 'content': 'load_data'}]