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44 lines
1.4 KiB
Python
44 lines
1.4 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 AccEvaluator
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from opencompass.datasets import AFQMCDatasetV2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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afqmc_reader_cfg = dict(
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input_columns=['sentence1', 'sentence2'],
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output_column='label',
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test_split='train')
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afqmc_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=
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'语句一：“{sentence1}”\n语句二：“{sentence2}”\n语句一与语句二是关于蚂蚁金融产品的疑问，两者所询问的内容是否完全一致？\nA. 不完全一致\nB. 完全一致\n请从“A”，“B”中进行选择。\n答：',
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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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afqmc_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=first_capital_postprocess),
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)
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afqmc_datasets = [
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dict(
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abbr='afqmc-dev',
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type=AFQMCDatasetV2,
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path='opencompass/afqmc-dev',
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reader_cfg=afqmc_reader_cfg,
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infer_cfg=afqmc_infer_cfg,
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eval_cfg=afqmc_eval_cfg,
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),
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]
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