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42 lines
1.4 KiB
Python
42 lines
1.4 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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eprstmt_reader_cfg = dict(
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input_columns=['sentence'], output_column='label', test_split='train')
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eprstmt_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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'Negative': ' 内容： "{sentence}"。情绪分类：消极。',
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'Positive': ' 内容： "{sentence}"。情绪分类：积极。',
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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eprstmt_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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eprstmt_datasets = [
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dict(
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type=HFDataset,
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abbr='eprstmt-dev',
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path='json',
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data_files='./data/FewCLUE/eprstmt/dev_few_all.json',
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split='train',
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reader_cfg=eprstmt_reader_cfg,
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infer_cfg=eprstmt_infer_cfg,
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eval_cfg=eprstmt_eval_cfg),
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dict(
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type=HFDataset,
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abbr='eprstmt-test',
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path='json',
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data_files='./data/FewCLUE/eprstmt/test_public.json',
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split='train',
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reader_cfg=eprstmt_reader_cfg,
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infer_cfg=eprstmt_infer_cfg,
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eval_cfg=eprstmt_eval_cfg)
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]
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