from opencompass.openicl.icl_prompt_template import PromptTemplate from opencompass.openicl.icl_retriever import ZeroRetriever from opencompass.openicl.icl_inferencer import PPLInferencer from opencompass.openicl.icl_evaluator import AccEvaluator from opencompass.datasets import HFDataset bustm_reader_cfg = dict( input_columns=['sentence1', 'sentence2'], output_column='label', test_split='train') bustm_infer_cfg = dict( prompt_template=dict( type=PromptTemplate, template={ 0: dict( begin=[ dict( role='SYSTEM', fallback_role='HUMAN', prompt="请判断以下两句话说的是否是一个意思:") ], round=[ dict(role="HUMAN", prompt="{sentence1},{sentence2}"), dict(role="BOT", prompt="两句话说的毫不相关。") ]), 1: dict( begin=[ dict( role='SYSTEM', fallback_role='HUMAN', prompt="请判断以下两句话说的是否是一个意思:") ], round=[ dict(role="HUMAN", prompt="{sentence1},{sentence2}"), dict(role="BOT", prompt="两句话说是的一个意思。") ]), }), retriever=dict(type=ZeroRetriever), inferencer=dict(type=PPLInferencer)) bustm_eval_cfg = dict(evaluator=dict(type=AccEvaluator)) bustm_datasets = [ dict( type=HFDataset, abbr='bustm-dev', path='json', data_files='./data/FewCLUE/bustm/dev_few_all.json', split='train', reader_cfg=bustm_reader_cfg, infer_cfg=bustm_infer_cfg, eval_cfg=bustm_eval_cfg), dict( type=HFDataset, abbr='bustm-test', path='json', data_files='./data/FewCLUE/bustm/test_public.json', split='train', reader_cfg=bustm_reader_cfg, infer_cfg=bustm_infer_cfg, eval_cfg=bustm_eval_cfg) ]