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39 lines
1.1 KiB
Python
39 lines
1.1 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 import Aime2024Dataset, MATHEvaluator, math_postprocess_v2
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aime2024_reader_cfg = dict(
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input_columns=['question'],
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output_column='answer'
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)
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aime2024_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='{question}\nPlease reason step by step, and put your final answer within \\boxed{}.'),
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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, max_out_len=2048)
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)
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aime2024_eval_cfg = dict(
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evaluator=dict(type=MATHEvaluator, version='v2'), pred_postprocessor=dict(type=math_postprocess_v2)
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)
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aime2024_datasets = [
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dict(
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abbr='aime2024',
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type=Aime2024Dataset,
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path='opencompass/aime2024',
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reader_cfg=aime2024_reader_cfg,
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infer_cfg=aime2024_infer_cfg,
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eval_cfg=aime2024_eval_cfg
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)
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]
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