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* style: pass all formatting hooks (yapf & quote fixer) * revise name:Add Lifescience Sub-set Support for MMLU & SciEval (datasets + configs + loader) * revise name:Add Lifescience SciEval (datasets + configs + loader+dataset-index.yml) * Add Lifescience SciEval (datasets + configs + loader+dataset-index.yml) * all categories of SciEval (datasets + configs + loader+dataset-index.yml) * revise name:Add Lifescience SciEval (datasets + configs + loader+dataset-index.yml) * revise :SciEval 5shot --------- Co-authored-by: root <tangcheng231@mails.ucas.edu.cn>
66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
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 GenInferencer
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from opencompass.openicl.icl_evaluator import AccwithDetailsEvaluator
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from opencompass.utils.text_postprocessors import first_option_postprocess
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from opencompass.datasets import SciEvalDataset
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# 只评测 biology + multiple-choice 的 test split
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_hint = ('Given a question and four options, please select the right answer. '
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"Your answer should be 'A', 'B', 'C' or 'D'.")
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category = [
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'biology',
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]
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scieval_reader_cfg = dict(
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input_columns=['input', 'A', 'B', 'C', 'D'],
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output_column='target',
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train_split='test',
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)
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scieval_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role='HUMAN',
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prompt=f'{_hint}\nQuestion: {{input}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\nAnswer: '
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),
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dict(role='BOT', prompt='{target}\n')
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]),
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),
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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begin='</E>',
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round=[
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dict(
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role='HUMAN',
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prompt=f'{_hint}\nQuestion: {{input}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\nAnswer: '
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),
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],
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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=GenInferencer),
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)
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scieval_eval_cfg = dict(
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evaluator=dict(type=AccwithDetailsEvaluator),
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pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
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)
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scieval_datasets = [
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dict(
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abbr='scieval_biology',
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type=SciEvalDataset,
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path='OpenDFM/SciEval',
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name='default',
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category=category,
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reader_cfg=scieval_reader_cfg,
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infer_cfg=scieval_infer_cfg,
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eval_cfg=scieval_eval_cfg,
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)
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]
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