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35 lines
1.1 KiB
Python
35 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 HFDataset
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COPA_reader_cfg = dict(
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input_columns=['question', 'premise', 'choice1', 'choice2'],
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output_column='label',
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test_split='train')
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COPA_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: "Premise:{premise}。\nQuestion:{question}。\nAnswer: {choice1}.",
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1: "Passage:{premise}。\nQuestion:{question}。\nAnswer: {choice2}.",
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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COPA_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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COPA_datasets = [
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dict(
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type=HFDataset,
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abbr='COPA',
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path='json',
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data_files='./data/SuperGLUE/COPA/val.jsonl',
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split='train',
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reader_cfg=COPA_reader_cfg,
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infer_cfg=COPA_infer_cfg,
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eval_cfg=COPA_eval_cfg)
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]
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