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37 lines
1.2 KiB
Python
37 lines
1.2 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 winogradDataset
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winograd_reader_cfg = dict(
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input_columns=['opt1', 'opt2'],
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output_column='label',
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train_split='test',
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test_split='test')
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winograd_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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0:
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"{prompt} Q: In the previous text, what does '{pronoun}' refer to? A: {opt1}.", # noqa
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1:
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"{prompt} Q: In the previous text, what does '{pronoun}' refer to? A: {opt2}.", # noqa
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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winograd_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
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winograd_datasets = [
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dict(
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abbr='winograd',
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type=winogradDataset,
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path='winograd_wsc',
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name='wsc285',
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reader_cfg=winograd_reader_cfg,
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infer_cfg=winograd_infer_cfg,
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eval_cfg=winograd_eval_cfg)
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]
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