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This function is designed to extract option answers enclosed in brackets from text, and replaces the use of first_option_postprocess in the MaritimeBench dataset. This change aims to support the answer format requirements of the MaritimeBench dataset and ensure that model outputs conform to the <option> format.
42 lines
1.7 KiB
Python
42 lines
1.7 KiB
Python
from opencompass.datasets import MaritimeBenchDataset
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.utils.text_postprocessors import parse_bracketed_answer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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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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maritimebench_reader_cfg = dict(
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input_columns=['question', 'A', 'B', 'C', 'D'],
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output_column='answer',
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train_split='test' # 明确指定使用test分割
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)
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maritimebench_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='请回答单选题。要求只输出选项，不输出解释，将选项放在<>里，直接输出答案。示例：\n\n题目：在船舶主推进动力装置中，传动轴系在运转中承受以下复杂的应力和负荷，但不包括______。\n选项：\nA. 电磁力\nB. 压拉应力\nC. 弯曲应力\nD. 扭应力\n答：<A> 当前题目:\n {question}\nA:{A}\nB:{B}\nC:{C}\nD:{D}')
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]
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),
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),
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retriever=dict(type=ZeroRetriever), # 不使用上下文
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inferencer=dict(type=GenInferencer) # 添加推理器配置
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)
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maritimebench_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=parse_bracketed_answer, options='A|B|C|D')
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)
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maritimebench_datasets = [
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dict(
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abbr='maritimebench',
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type=MaritimeBenchDataset,
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name='default',
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path='opencompass/maritimebench',
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reader_cfg=maritimebench_reader_cfg,
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infer_cfg=maritimebench_infer_cfg,
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eval_cfg=maritimebench_eval_cfg
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)
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] |