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from opencompass.openicl.icl_prompt_template import PromptTemplate |
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from opencompass.openicl.icl_retriever import FixKRetriever |
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from opencompass.openicl.icl_inferencer import PPLInferencer |
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from opencompass.openicl.icl_evaluator import AccEvaluator |
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from opencompass.datasets import commonsenseqaDataset |
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commonsenseqa_reader_cfg = dict( |
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input_columns=['question', 'A', 'B', 'C', 'D', 'E'], |
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output_column='answerKey', |
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test_split='validation') |
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_ice_template = dict( |
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type=PromptTemplate, |
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template={ |
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ans: dict( |
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begin='</E>', |
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round=[ |
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dict(role="HUMAN", prompt="Question: {question}\nAnswer: "), |
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dict(role="BOT", prompt=ans_token), |
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]) |
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for ans, ans_token in [["A", "{A}"], ["B", "{B}"], |
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["C", "{C}"], ["D", "{D}"], |
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["E", "{E}"]] |
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}, |
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ice_token='</E>') |
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commonsenseqa_infer_cfg = dict( |
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ice_template=_ice_template, |
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4, 5, 6, 7]), |
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inferencer=dict(type=PPLInferencer)) |
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commonsenseqa_eval_cfg = dict(evaluator=dict(type=AccEvaluator)) |
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commonsenseqa_datasets = [ |
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dict( |
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abbr='commonsense_qa', |
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type=commonsenseqaDataset, |
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path='./data/commonsenseqa', |
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reader_cfg=commonsenseqa_reader_cfg, |
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infer_cfg=commonsenseqa_infer_cfg, |
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eval_cfg=commonsenseqa_eval_cfg) |
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] |
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