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36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
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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 GenInferencer
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from opencompass.openicl.icl_evaluator import EMEvaluator
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from opencompass.datasets import CMRCDataset, cmrc_postprocess
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CMRC_reader_cfg = dict(
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input_columns=['question', 'context'], output_column='answers')
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CMRC_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role="HUMAN",
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prompt="根据文章回答问题。你的答案应该尽可能简练，请以 ‘答案是’ 开头的句式作答。\n文章：{context}\n问：{question}\n答："),
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])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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CMRC_eval_cfg = dict(
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evaluator=dict(type=EMEvaluator),
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pred_role="BOT",
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pred_postprocessor=dict(type=cmrc_postprocess),
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)
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CMRC_datasets = [
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dict(
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type=CMRCDataset,
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abbr='CMRC_dev',
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path='./data/CLUE/CMRC/dev.json',
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reader_cfg=CMRC_reader_cfg,
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infer_cfg=CMRC_infer_cfg,
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eval_cfg=CMRC_eval_cfg),
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]
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