from opencompass.openicl.icl_prompt_template import PromptTemplate from opencompass.openicl.icl_retriever import KnowledgeRetriever from opencompass.openicl.icl_inferencer import GenInferencer from opencompass.openicl.icl_evaluator import AccEvaluator from opencompass.datasets import CHIDDataset_V2 from opencompass.utils.text_postprocessors import first_capital_postprocess chid_knowledge_reader_cfg = dict( input_columns=["content", "A", "B", "C", "D", "E", "F", "G"], output_column="answer", ) chid_knowledge_infer_cfg = dict( ice_template=dict( type=PromptTemplate, template='以下是参考内容:{knowledge},结合上述参考内容,考虑接下来的问题:' ), prompt_template=dict( type=PromptTemplate, template=dict( round=[ dict( role="HUMAN", prompt= "{content}\n请选择______处所填的词\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nE. {E}\nF. {F}\nG. {G}\n请从“A”,“B”,“C”,“D”,“E”,“F”,“G”中进行选择。答:", ), ] ), ice_token='' ), retriever=dict( type=KnowledgeRetriever, knowledge_docs=[ './data/knowledge/chengyu-01-of-02.txt', './data/knowledge/chengyu-02-of-02.txt', ], retrieve_keys=['A', 'B', 'C', 'D', 'E', 'F', 'G'], ice_eos_token='\n' ), inferencer=dict(type=GenInferencer), ) chid_knowledge_eval_cfg = dict( evaluator=dict(type=AccEvaluator), pred_role="BOT", pred_postprocessor=dict(type=first_capital_postprocess), ) chid_knowledge_datasets = [ dict( abbr="chid-dev", type=CHIDDataset_V2, path="./data/FewCLUE/chid/dev_few_all.json", reader_cfg=chid_knowledge_reader_cfg, infer_cfg=chid_knowledge_infer_cfg, eval_cfg=chid_knowledge_eval_cfg, ), dict( abbr="chid-test", type=CHIDDataset_V2, path="./data/FewCLUE/chid/test_public.json", reader_cfg=chid_knowledge_reader_cfg, infer_cfg=chid_knowledge_infer_cfg, eval_cfg=chid_knowledge_eval_cfg, ), ]