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50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import FixKRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccwithDetailsEvaluator
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from opencompass.datasets import GPQADataset, GPQAEvaluator
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from opencompass.utils import first_option_postprocess
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gpqa_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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hint = f'对下面的单项选择题，请直接给出正确答案的选项。'
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question_and_options = 'Question: {question}\n(A){A}\n(B){B}\n(C){C}\n(D){D}\n'
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gpqa_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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opt: f'{question_and_options}\nAnswer: {opt}' for opt in ['A', 'B', 'C', 'D']},
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),
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prompt_template=dict(
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type=PromptTemplate,
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template={
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opt: f'{hint}\n</E>{question_and_options}\nAnswer: {opt}' for opt in ['A', 'B', 'C', 'D']
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},
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ice_token='</E>'
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4]),
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inferencer=dict(type=PPLInferencer))
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gpqa_eval_cfg = dict(evaluator=dict(type=AccwithDetailsEvaluator))
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gpqa_datasets = []
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gpqa_subsets = {
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# 'extended': 'gpqa_extended.csv',
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# 'main': 'gpqa_main.csv',
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'diamond': 'gpqa_diamond.csv'
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}
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for split in list(gpqa_subsets.keys()):
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gpqa_datasets.append(
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dict(
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abbr='GPQA_' + split,
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type=GPQADataset,
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path='./data/gpqa/',
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name=gpqa_subsets[split],
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reader_cfg=gpqa_reader_cfg,
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infer_cfg=gpqa_infer_cfg,
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eval_cfg=gpqa_eval_cfg)
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)
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