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b69fe2343b
* check * message * add * change prompt * change a para nameq * modify name of the file * delete an useless file
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
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 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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gpqa_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}\nChoices:\n'
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'(A){A}\n'
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'(B){B}\n'
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'(C){C}\n'
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'(D){D}\n'
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'Format your response as follows: "The correct answer is (insert answer here)"'),
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], )),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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gpqa_eval_cfg = dict(evaluator=dict(type=GPQAEvaluator),
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'))
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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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