FewCLUE_chid_ppl_8f2872.py 1.43 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 PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import CHIDDataset

chid_reader_cfg = dict(
    input_columns=[f'content{i}' for i in range(7)], output_column='answer')

chid_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template={
            i: dict(
                round=[
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                    dict(role='HUMAN', prompt=f'以下句子是否通顺?\n{{content{i}}}'),
                    dict(role='BOT', prompt='这个句子是通顺的。'),
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                ], )
            for i in range(7)
        }),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=PPLInferencer))

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chid_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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chid_datasets = [
    dict(
        type=CHIDDataset,
        path='json',
        abbr='chid-dev',
        data_files='./data/FewCLUE/chid/dev_few_all.json',
        split='train',
        reader_cfg=chid_reader_cfg,
        infer_cfg=chid_infer_cfg,
        eval_cfg=chid_eval_cfg),
    dict(
        type=CHIDDataset,
        path='json',
        abbr='chid-test',
        data_files='./data/FewCLUE/chid/test_public.json',
        split='train',
        reader_cfg=chid_reader_cfg,
        infer_cfg=chid_infer_cfg,
        eval_cfg=chid_eval_cfg),
]