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37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
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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