CLUE_cmnli_gen_1abf97.py 1.37 KB
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from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import GenInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import cmnliDataset_V2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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cmnli_reader_cfg = dict(
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    input_columns=['sentence1', 'sentence2'],
    output_column='label',
    test_split='train')
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cmnli_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template=dict(round=[
            dict(
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                role='HUMAN',
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                prompt=
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                '语句一:“{sentence1}”\n语句二:“{sentence2}”\n请问这两句话是什么关系?\nA. 蕴含\nB. 矛盾\nC. 无关\n请从“A”,“B”,“C”中进行选择。\n答:'
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            ),
        ]),
    ),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=GenInferencer),
)

cmnli_eval_cfg = dict(
    evaluator=dict(type=AccEvaluator),
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    pred_role='BOT',
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    pred_postprocessor=dict(type=first_capital_postprocess),
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)

cmnli_datasets = [
    dict(
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        abbr='cmnli',
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        type=cmnliDataset_V2,
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        path='./data/CLUE/cmnli/cmnli_public/dev.json',
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        reader_cfg=cmnli_reader_cfg,
        infer_cfg=cmnli_infer_cfg,
        eval_cfg=cmnli_eval_cfg,
    )
]