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from opencompass.openicl.icl_prompt_template import PromptTemplate |
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from opencompass.openicl.icl_retriever import ZeroRetriever |
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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 ARCDataset |
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ARC_c_reader_cfg = dict( |
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input_columns=['question', 'textA', 'textB', 'textC', 'textD'], |
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output_column='answerKey') |
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ARC_c_infer_cfg = dict( |
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prompt_template=dict( |
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type=PromptTemplate, |
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template={ |
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opt: dict( |
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round=[ |
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dict(role="HUMAN", prompt=f"{{question}}\nA. {{textA}}\nB. {{textB}}\nC. {{textC}}\nD. {{textD}}"), |
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dict(role="BOT", prompt=f"Answer: {opt}"), |
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] |
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) for opt in ["A", "B", "C", "D"] |
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}, |
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), |
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retriever=dict(type=ZeroRetriever), |
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inferencer=dict(type=PPLInferencer)) |
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ARC_c_eval_cfg = dict(evaluator=dict(type=AccEvaluator)) |
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ARC_c_datasets = [ |
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dict( |
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type=ARCDataset, |
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abbr='ARC-c', |
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path='./data/ARC/ARC-c/ARC-Challenge-Dev.jsonl', |
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reader_cfg=ARC_c_reader_cfg, |
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infer_cfg=ARC_c_infer_cfg, |
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eval_cfg=ARC_c_eval_cfg) |
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] |
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