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35 lines
989 B
Python
35 lines
989 B
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 GenInferencer
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from opencompass.datasets import NaturalQuestionDataset_CN, NQEvaluator_CN
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nqcn_reader_cfg = dict(
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input_columns=['question'], output_column='answer', train_split='test'
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)
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nqcn_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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round=[
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dict(role='HUMAN', prompt='问题: {question}?\n答案是：'),
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],
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),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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nqcn_eval_cfg = dict(evaluator=dict(type=NQEvaluator_CN), pred_role='BOT')
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nqcn_datasets = [
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dict(
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abbr='nq_cn',
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type=NaturalQuestionDataset_CN,
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path='./data/nq_cn',
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reader_cfg=nqcn_reader_cfg,
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infer_cfg=nqcn_infer_cfg,
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eval_cfg=nqcn_eval_cfg,
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)
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]
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