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46 lines
1.3 KiB
Python
46 lines
1.3 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 PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import BoolQDataset
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BoolQ_reader_cfg = dict(
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input_columns=["question", "passage"],
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output_column="answer",
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test_split="train")
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BoolQ_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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0:
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dict(round=[
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dict(role="HUMAN", prompt="{passage}\nQuestion: {question}"),
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dict(role="BOT", prompt="No."),
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]),
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1:
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dict(round=[
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dict(role="HUMAN", prompt="{passage}\nQuestion: {question}"),
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dict(role="BOT", prompt="Yes."),
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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=PPLInferencer),
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)
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BoolQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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BoolQ_datasets = [
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dict(
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type=BoolQDataset,
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abbr="BoolQ",
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path="json",
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data_files="./data/SuperGLUE/BoolQ/val.jsonl",
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split="train",
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reader_cfg=BoolQ_reader_cfg,
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infer_cfg=BoolQ_infer_cfg,
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eval_cfg=BoolQ_eval_cfg,
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)
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]
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