[{'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 matplotlib.pyplot as plt\nimport matplotlib.pylab as py\n%matplotlib inline\nunames = ['user_id', 'gender', 'age', 'occupation', 'zipc']\nusers = pd.read_table('ml-1m/users.dat', sep='::', header=None, names=unames, engine='python')\nrnames = ['user_id', 'movie_id', 'rating', 'timestamp']\nratings = pd.read_table('ml-1m/ratings.dat', sep='::', header=None, names=rnames, engine='python')\nmnames = ['movie_id', 'title', 'genres']\nmovies = pd.read_table('ml-1m/movies.dat', sep='::', header=None, names=mnames, engine='python')\ndata = pd.merge(pd.merge(ratings, users), movies)\nstore = pd.HDFStore('data.h5')\nstore['data'] = data\ndata"}, {'role': 'assistant', 'content': 'load_data'}]