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51 lines
1.7 KiB
Python
51 lines
1.7 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 CMNLIDataset
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cmnli_reader_cfg = dict(
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input_columns=['sentence1', 'sentence2'],
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output_column='label',
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test_split='train')
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cmnli_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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'contradiction':
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dict(round=[
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dict(
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role='HUMAN',
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prompt='阅读文章：{sentence1}\n根据上文，回答如下问题：{sentence2}？'),
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dict(role='BOT', prompt='错')
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]),
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'entailment':
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dict(round=[
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dict(
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role='HUMAN',
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prompt='阅读文章：{sentence1}\n根据上文，回答如下问题：{sentence2}？'),
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dict(role='BOT', prompt='对')
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]),
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'neutral':
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dict(round=[
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dict(
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role='HUMAN', prompt='如果{sentence1}为真，那么{sentence2}也为真吗？'),
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dict(role='BOT', prompt='可能')
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]),
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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cmnli_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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cmnli_datasets = [
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dict(
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abbr='cmnli',
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type=CMNLIDataset,
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path='opencompass/cmnli-dev',
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reader_cfg=cmnli_reader_cfg,
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infer_cfg=cmnli_infer_cfg,
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eval_cfg=cmnli_eval_cfg)
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]
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