[{'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:import pandas as pd\nimport os\nimport numpy as np\nfrom sklearn.preprocessing import LabelEncoder\nprint(os.listdir('../input'))\nfile = ['train_users.csv', 'age_gender_bkts.csv', 'sessions.csv', 'countries.csv', 'test_users.csv']\ndata = {}\nfor f in file:\n    data[f.replace('.csv','')]=pd.read_csv('../input/'+f)\n    \ntrain = data['train_users']\ntest = data['test_users']\n# train = train.fillna(-100)\n# test = test.fillna(-100)\n\nage = data['age_gender_bkts']\nsessions = data['sessions']\ncountry = data['countries']\ntarget = train['country_destination']\ntrain = train.drop(['country_destination'],axis=1)\n\n"}, {'role': 'assistant', 'content': 'helper_functions'}]