[{'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:b"# device_iddevice\\n# ga_trainga_testapp_eventstraintest\\nga_train = pd.read_csv(\'../input/gender_age_train.csv\', index_col=\'device_id\')\\nga_test = pd.read_csv(\'../input/gender_age_test.csv\', index_col=\'device_id\') \\n# event_idapp_eventsappevent_idevent_iddevice_idga_traindevice_idgenderage\\nevents = pd.read_csv(\'../input/events.csv\', index_col=\'event_id\', parse_dates=[\'timestamp\']) \\n# appis_installed1\\napp_events = pd.read_csv(\'../input/app_events.csv\', usecols=[\'event_id\',\'app_id\',\'is_active\'])\\n# phone_branddevice_model\\n##### \\ndevice_brand = pd.read_csv(\'../input/phone_brand_device_model.csv\')\\ndevice_brand = device_brand.drop_duplicates(\'device_id\').set_index(\'device_id\')\\napp_labels = pd.read_csv(\'../input/app_labels.csv\')"'}, {'role': 'assistant', 'content': 'load_data'}]