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52 lines
1.8 KiB
Python
52 lines
1.8 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 CslDataset_V2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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csl_reader_cfg = dict(
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input_columns=["abst", "keywords"],
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output_column="label",
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)
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csl_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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"摘要是对论文内容不加注释和评论的简短陈述，要求扼要地说明研究工作的目的、研究方法和最终结论等。\n关键词是一篇学术论文的核心词汇，一般由一系列名词组成。关键词在全文中应有较高出现频率，且能起到帮助文献检索的作用。\n摘要：{abst}\n关键词：{keywords}\n请问上述关键词是否匹配摘要且符合要求？\nA. 否\nB. 是\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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csl_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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csl_datasets = [
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dict(
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abbr="csl_dev",
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type=CslDataset_V2,
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path="./data/FewCLUE/csl/dev_few_all.json",
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg,
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),
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dict(
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abbr="csl_test",
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type=CslDataset_V2,
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path="./data/FewCLUE/csl/test_public.json",
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg,
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),
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]
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