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33 lines
1.0 KiB
Python
33 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 GenInferencer
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from opencompass.openicl.icl_evaluator import RougeEvaluator
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from opencompass.datasets import LCSTSDataset, lcsts_postprocess
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lcsts_reader_cfg = dict(input_columns=['content'], output_column='abst')
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lcsts_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(role='HUMAN', prompt='阅读以下文章，并给出简短的摘要：{content}\n摘要如下：'),
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])),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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lcsts_eval_cfg = dict(
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evaluator=dict(type=RougeEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=lcsts_postprocess),
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)
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lcsts_datasets = [
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dict(
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type=LCSTSDataset,
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abbr='lcsts',
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path='./data/LCSTS',
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reader_cfg=lcsts_reader_cfg,
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infer_cfg=lcsts_infer_cfg,
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eval_cfg=lcsts_eval_cfg)
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]
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