37 lines
1.1 KiB
Python
37 lines
1.1 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 winograndeDataset
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winogrande_reader_cfg = dict(
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input_columns=['opt1', 'opt2'],
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output_column='answer',
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train_split='validation',
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test_split='validation')
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winogrande_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(round=[
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dict(role="HUMAN", prompt=f"Good sentence: {{opt{i}}}"),
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])
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for i in range(1, 3)
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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winogrande_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
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winogrande_datasets = [
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dict(
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abbr='winogrande',
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type=winograndeDataset,
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path='winogrande',
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name='winogrande_xs',
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reader_cfg=winogrande_reader_cfg,
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infer_cfg=winogrande_infer_cfg,
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eval_cfg=winogrande_eval_cfg)
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]
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