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37 lines
1.1 KiB
Python
37 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 GSM8KDataset, gsm8k_postprocess, gsm8k_dataset_postprocess, Gsm8kEvaluator
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gsm8k_reader_cfg = dict(input_columns=["question"], output_column="answer")
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gsm8k_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=512),
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)
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gsm8k_eval_cfg = dict(
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evaluator=dict(type=Gsm8kEvaluator),
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pred_postprocessor=dict(type=gsm8k_postprocess),
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dataset_postprocessor=dict(type=gsm8k_dataset_postprocess),
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)
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gsm8k_datasets = [
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dict(
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abbr="gsm8k",
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type=GSM8KDataset,
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path="./data/gsm8k",
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reader_cfg=gsm8k_reader_cfg,
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infer_cfg=gsm8k_infer_cfg,
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eval_cfg=gsm8k_eval_cfg,
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)
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]
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