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32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
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 XCOPADataset
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XCOPA_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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XCOPA_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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XCOPA_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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XCOPA_datasets = [
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dict(
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type=XCOPADataset,
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path='xcopa',
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reader_cfg=XCOPA_reader_cfg,
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infer_cfg=XCOPA_infer_cfg,
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eval_cfg=XCOPA_eval_cfg)
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]
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