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46 lines
1.4 KiB
Python
46 lines
1.4 KiB
Python
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import PPLInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import CHIDDataset
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chid_reader_cfg = dict(
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input_columns=[f'content{i}' for i in range(7)], output_column='answer')
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chid_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template={
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i: dict(
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round=[
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dict(role="HUMAN", prompt=f"以下句子是否通顺？\n{{content{i}}}"),
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dict(role="BOT", prompt="这个句子是通顺的。"),
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], )
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for i in range(7)
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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chid_eval_cfg = dict(evaluator=dict(type=AccEvaluator), pred_role="BOT")
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chid_datasets = [
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dict(
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type=CHIDDataset,
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path='json',
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abbr='chid-dev',
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data_files='./data/FewCLUE/chid/dev_few_all.json',
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split='train',
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reader_cfg=chid_reader_cfg,
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infer_cfg=chid_infer_cfg,
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eval_cfg=chid_eval_cfg),
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dict(
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type=CHIDDataset,
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path='json',
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abbr='chid-test',
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data_files='./data/FewCLUE/chid/test_public.json',
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split='train',
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reader_cfg=chid_reader_cfg,
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infer_cfg=chid_infer_cfg,
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eval_cfg=chid_eval_cfg),
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]
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