[{'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:view_sentence_range = (1000, 1020)\n"""\nDON\'T MODIFY ANYTHING IN THIS CELL\n"""\nimport numpy as np\nprint(\'Dataset Stats\')\nprint(\'Roughly the number of unique words: {}\'.format(len({word: None for word in source_text.split()})))\nsentences = source_text.split(\'\\n\')\nword_counts = [len(sentence.split()) for sentence in sentences]\nprint(\'Number of sentences: {}\'.format(len(sentences)))\nprint(\'Average number of words in a sentence: {}\'.format(np.average(word_counts)))\nprint()\nprint(\'English sentences {} to {}:\'.format(*view_sentence_range))\nprint(\'\\n\'.join(source_text.split(\'\\n\')[view_sentence_range[0]:view_sentence_range[1]]))\nprint()\nprint(\'French sentences {} to {}:\'.format(*view_sentence_range))\nprint(\'\\n\'.join(target_text.split(\'\\n\')[view_sentence_range[0]:view_sentence_range[1]]))'}, {'role': 'assistant', 'content': "['helper_functions', 'data_exploration']"}]