[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:pickle_file = 'notMNIST.pickle'\nwith open(pickle_file, 'rb') as f:\nsave = pickle.load(f)\ntrain_dataset = save['train_dataset']\ntrain_labels = save['train_labels']\nvalid_dataset = save['valid_dataset']\nvalid_labels = save['valid_labels']\ntest_dataset = save['test_dataset']\ntest_labels = save['test_labels']\ndel save  # hint to help gc free up memory\nprint('Training set', train_dataset.shape, train_labels.shape)\nprint('Validation set', valid_dataset.shape, valid_labels.shape)\nprint('Test set', test_dataset.shape, test_labels.shape)"}, {'role': 'assistant', 'content': "['load_data', 'data_exploration']"}]