winogrande_5shot_gen_b36770.py 1.42 KB
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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 GenInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import winograndeDataset_V3
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from opencompass.utils.text_postprocessors import first_option_postprocess
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winogrande_reader_cfg = dict(
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    input_columns=['prompt', 'only_option1', 'only_option2'],
    output_column='answer',
    train_split='train_xs',
    test_split='dev',
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)
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winogrande_infer_cfg = dict(
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    ice_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(role='HUMAN', prompt='Question: {prompt}\nA. {only_option1}\nB. {only_option2}\nAnswer:'),
                dict(role='BOT', prompt='{answer}'),
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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, 2, 4, 6, 8]),
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    inferencer=dict(type=GenInferencer),
)

winogrande_eval_cfg = dict(
    evaluator=dict(type=AccEvaluator),
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    pred_role='BOT',
    pred_postprocessor=dict(type=first_option_postprocess, options='AB'),
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)

winogrande_datasets = [
    dict(
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        abbr='winogrande',
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        type=winograndeDataset_V3,
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        path='./data/winogrande',
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        reader_cfg=winogrande_reader_cfg,
        infer_cfg=winogrande_infer_cfg,
        eval_cfg=winogrande_eval_cfg,
    )
]