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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import FixKRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.datasets import CMBDataset
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cmb_datasets = []
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cmb_reader_cfg = dict(
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input_columns=["exam_type", "exam_class", "question_type", "question", "option_str"],
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output_column=None,
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train_split="val",
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test_split="test"
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)
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cmb_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template=dict(
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begin="</E>",
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round=[
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dict(
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role="HUMAN",
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prompt=f"以下是中国{{exam_type}}中{{exam_class}}考试的一道{{question_type}}，不需要做任何分析和解释，直接输出答案选项。\n{{question}}\n{{option_str}} \n 答案: ",
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),
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dict(role="BOT", prompt="{answer}"),
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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(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4]),
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inferencer=dict(type=GenInferencer),
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)
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cmb_datasets.append(
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dict(
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type=CMBDataset,
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path="./data/CMB/",
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abbr="cmb",
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reader_cfg=cmb_reader_cfg,
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infer_cfg=cmb_infer_cfg
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)
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) |