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45 lines
1.0 KiB
Python
45 lines
1.0 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.datasets.omni_math import OmniMathDataset, OmniMathEvaluator
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reader_cfg = dict(
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input_columns=['problem'],
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output_column='answer'
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)
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infer_cfg = dict(
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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(role='HUMAN', prompt='please answer the following mathematical question, put your final answer in \\boxed{}.\n\n{problem}'),
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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(
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type=GenInferencer,
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max_out_len=2048,
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temperature=0.0
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)
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)
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eval_cfg = dict(
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evaluator=dict(
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type=OmniMathEvaluator,
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url=[]
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)
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)
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omni_math_datasets = [
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dict(
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type=OmniMathDataset,
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abbr='OmniMath',
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reader_cfg=reader_cfg,
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infer_cfg=infer_cfg,
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eval_cfg=eval_cfg
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)
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]
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