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67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import KnowledgeRetriever
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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 CHIDDataset_V2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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chid_knowledge_reader_cfg = dict(
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input_columns=["content", "A", "B", "C", "D", "E", "F", "G"],
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output_column="answer",
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)
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chid_knowledge_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template='以下是参考内容：{knowledge}，结合上述参考内容，考虑接下来的问题：'
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),
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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(
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role="HUMAN",
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prompt=
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"</E>{content}\n请选择______处所填的词\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nE. {E}\nF. {F}\nG. {G}\n请从“A”，“B”，“C”，“D”，“E”，“F”，“G”中进行选择。答：",
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),
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]
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),
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ice_token='</E>'
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),
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retriever=dict(
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type=KnowledgeRetriever,
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knowledge_docs=[
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'./data/knowledge/chengyu-01-of-02.txt',
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'./data/knowledge/chengyu-02-of-02.txt',
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],
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retrieve_keys=['A', 'B', 'C', 'D', 'E', 'F', 'G'],
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ice_eos_token='\n'
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),
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inferencer=dict(type=GenInferencer),
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)
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chid_knowledge_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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chid_knowledge_datasets = [
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dict(
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abbr="chid-dev",
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type=CHIDDataset_V2,
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path="./data/FewCLUE/chid/dev_few_all.json",
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reader_cfg=chid_knowledge_reader_cfg,
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infer_cfg=chid_knowledge_infer_cfg,
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eval_cfg=chid_knowledge_eval_cfg,
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),
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dict(
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abbr="chid-test",
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type=CHIDDataset_V2,
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path="./data/FewCLUE/chid/test_public.json",
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reader_cfg=chid_knowledge_reader_cfg,
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infer_cfg=chid_knowledge_infer_cfg,
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eval_cfg=chid_knowledge_eval_cfg,
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),
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]
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