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FewCLUE_csl_ppl_f99d7a.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 PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import CslDataset

csl_reader_cfg = dict(
    input_columns=["abst", "keywords"], output_column='label')

csl_infer_cfg = dict(
    prompt_template=dict(
        type=PromptTemplate,
        template={
            0:
            dict(round=[dict(role="HUMAN", prompt="摘要：{abst}")]),
            1:
            dict(
                round=[dict(role="HUMAN", prompt="摘要：{abst}\n关键词：{keywords}")
                       ]),
        }),
    retriever=dict(type=ZeroRetriever),
    inferencer=dict(type=PPLInferencer))

csl_eval_cfg = dict(evaluator=dict(type=AccEvaluator))

csl_datasets = [
    dict(
        type=CslDataset,
        path='json',
        abbr='csl_dev',
        data_files='./data/FewCLUE/csl/dev_few_all.json',
        split='train',
        reader_cfg=csl_reader_cfg,
        infer_cfg=csl_infer_cfg,
        eval_cfg=csl_eval_cfg),
    dict(
        type=CslDataset,
        path='json',
        abbr='csl_test',
        data_files='./data/FewCLUE/csl/test_public.json',
        split='train',
        reader_cfg=csl_reader_cfg,
        infer_cfg=csl_infer_cfg,
        eval_cfg=csl_eval_cfg)
]