[{'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:def text_to_ids(source_text, target_text, source_vocab_to_int, target_vocab_to_int):\n"""\nConvert source and target text to proper word ids\n:param source_text: String that contains all the source text.\n:param target_text: String that contains all the target text.\n:param source_vocab_to_int: Dictionary to go from the source words to an id\n:param target_vocab_to_int: Dictionary to go from the target words to an id\n:return: A tuple of lists (source_id_text, target_id_text)\n"""\ntarget_vocab_to_int[\'\'] = 0\nsource_vocab_to_int[\'\'] = 0\nsource_lines_words = [line.split(\' \') for line in source_text.split(\'\\n\')]\nsource_id_text = [[source_vocab_to_int[word] for word in line] for line in source_lines_words ]\ntarget_lines_words = [line.split(\' \')+[\'<EOS>\'] for line in target_text.split(\'\\n\')]\ntarget_id_text = [[target_vocab_to_int[word] for word in line] for line in target_lines_words ]\nreturn source_id_text, target_id_text\n"""\nDON\'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE\n"""\ntests.test_text_to_ids(text_to_ids)'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]