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41 lines
1.6 KiB
Python
41 lines
1.6 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 C3Dataset
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C3_reader_cfg = dict(
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input_columns=[
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'question', 'content', 'choice0', 'choice1', 'choice2', 'choice3',
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'choices'
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],
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output_column='label')
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C3_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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0:
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"阅读以下内容,选择合适的选项回答: {content} 问题：{question}\n 选项: -{choice0} -{choice1} -{choice2} -{choice3} 答: [MASK]-{choice0}",
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1:
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"阅读以下内容,选择合适的选项回答: {content} 问题：{question}\n 选项: -{choice0} -{choice1} -{choice2} -{choice3} 答: [MASK]-{choice1}",
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2:
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"阅读以下内容,选择合适的选项回答: {content} 问题：{question}\n 选项: -{choice0} -{choice1} -{choice2} -{choice3} 答: [MASK]-{choice2}",
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3:
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"阅读以下内容,选择合适的选项回答: {content} 问题：{question}\n 选项: -{choice0} -{choice1} -{choice2} -{choice3} 答: [MASK]-{choice3}",
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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C3_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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C3_datasets = [
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dict(
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type=C3Dataset,
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abbr='C3',
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path='./data/CLUE/C3/dev_0.json',
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reader_cfg=C3_reader_cfg,
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infer_cfg=C3_infer_cfg,
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eval_cfg=C3_eval_cfg)
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]
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