[{'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:df_train = pd.read_csv("/kaggle/input/gapvalidation/gap-test.tsv", delimiter="\\\\t")\ndf_val = pd.read_csv("/kaggle/input/gapvalidation/gap-validation.tsv", delimiter="\\\\t")\ndf_test = pd.read_csv("/kaggle/input/gapvalidation/gap-development.tsv", delimiter="\\\\t")\ntest_2 = pd.read_csv("/kaggle/input/gendered-pronoun-resolution/test_stage_2.tsv", delimiter="\\\\t")\n\nPRETRAINED_MODEL_NAME = \'bert-large-uncased\'\n\nbert_path = "../input/bert-base-uncased/"\ntokenizer = BertTokenizer.from_pretrained(bert_path)\npad_len = 300\''}, {'role': 'assistant', 'content': 'load_data'}]