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45 lines
1.4 KiB
Python
45 lines
1.4 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 CluewscDataset
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cluewsc_reader_cfg = dict(
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input_columns=['span1', 'span2', 'text', 'new_text'],
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output_column='answer')
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cluewsc_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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"{text}\nHere, is the pronoun \"{span2}\" used to mean \"{span1}\"? No.",
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1:
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"{text}\nHere, is the pronoun \"{span2}\" used to mean \"{span1}\"? Yes.",
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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cluewsc_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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cluewsc_datasets = [
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dict(
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type=CluewscDataset,
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path='json',
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abbr='cluewsc-dev',
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data_files='./data/FewCLUE/cluewsc/dev_few_all.json',
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split='train',
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reader_cfg=cluewsc_reader_cfg,
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infer_cfg=cluewsc_infer_cfg,
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eval_cfg=cluewsc_eval_cfg),
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dict(
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type=CluewscDataset,
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path='json',
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abbr='cluewsc-test',
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data_files='./data/FewCLUE/cluewsc/test_public.json',
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split='train',
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reader_cfg=cluewsc_reader_cfg,
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infer_cfg=cluewsc_infer_cfg,
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eval_cfg=cluewsc_eval_cfg),
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]
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