[{'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:METADATA = [ 'version', 'changeset', 'timestamp', 'user', 'uid', 'id']\nst_types = defaultdict(set)\ndef preview_data(tag):\ni = 0\ns = 20\nn = s + 3  # Number of tags to preview\npv = {}\nfor event, elem in xET.iterparse(SAMPLE_NAME, events=('start',)):\nif elem.tag == tag:\ni += 1\nif i >= s and i<= n:\npv[tag + str(i)] = {}\nfor a in METADATA:\nif elem.attrib[a] not in pv[tag + str(i)].keys():\npv[tag + str(i)][a] = elem.attrib[a]\npv = get_tag_list(pv, elem, tag, i)\npv = get_node_list(pv, elem, tag, i)\nif i == n:\nreturn pv\ndef get_tag_list(pv, elem, tag, i):\npv[tag + str(i)]['tags'] = {}\nfor t in elem.iter('tag'):\nif t.attrib['k'] not in pv[tag + str(i)]['tags'].keys():\npv[tag + str(i)]['tags'][t.attrib['k']] = t.get('v')\nreturn pv\ndef get_node_list(pv, elem, tag, i):\npv[tag + str(i)]['nodes'] = set()\nfor nd in elem.iter('nd'):\npv[tag + str(i)]['nodes'].add(nd.attrib['ref'])\nreturn pv\npprint.pprint(preview_data('way'))"}, {'role': 'assistant', 'content': "['data_exploration']"}]