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42 lines
1.2 KiB
Python
42 lines
1.2 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.openicl.icl_evaluator import AccEvaluator
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from opencompass.utils.text_postprocessors import first_option_postprocess
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from opencompass.datasets.MedQA import MedQADataset
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MedQA_reader_cfg = dict(
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input_columns=['question', 'A', 'B', 'C', 'D', 'choices'],
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output_column='label',
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test_split='validation')
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MedQA_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(
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role='HUMAN',
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prompt='\nQuestion: {question}\n{choices}\nAnswer:'
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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),
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)
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MedQA_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD')
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)
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MedQA_datasets = [
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dict(
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abbr='MedQA',
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type=MedQADataset,
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path='opencompass/MedQA',
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reader_cfg=MedQA_reader_cfg,
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infer_cfg=MedQA_infer_cfg,
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eval_cfg=MedQA_eval_cfg)
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]
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