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46 lines
1.4 KiB
Python
46 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 CslDataset
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csl_reader_cfg = dict(
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input_columns=["abst", "keywords"], output_column='label')
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csl_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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dict(round=[dict(role="HUMAN", prompt="摘要：{abst}")]),
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1:
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dict(
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round=[dict(role="HUMAN", prompt="摘要：{abst}\n关键词：{keywords}")
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]),
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}),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=PPLInferencer))
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csl_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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csl_datasets = [
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dict(
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type=CslDataset,
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path='json',
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abbr='csl_dev',
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data_files='./data/FewCLUE/csl/dev_few_all.json',
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split='train',
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg),
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dict(
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type=CslDataset,
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path='json',
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abbr='csl_test',
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data_files='./data/FewCLUE/csl/test_public.json',
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split='train',
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg)
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]
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