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31 lines
1000 B
Python
31 lines
1000 B
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 XsumDataset, Xsum_postprocess
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Xsum_reader_cfg = dict(input_columns=['dialogue'], output_column='summary')
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Xsum_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template='Document：{dialogue}\n'
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'Based on the previous text, provide a brief single summary:'),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer))
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Xsum_eval_cfg = dict(
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evaluator=dict(type=RougeEvaluator),
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pred_postprocessor=dict(type=Xsum_postprocess),
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)
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Xsum_datasets = [
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dict(
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type=XsumDataset,
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abbr='Xsum',
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path='./data/Xsum/dev.jsonl',
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reader_cfg=Xsum_reader_cfg,
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infer_cfg=Xsum_infer_cfg,
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eval_cfg=Xsum_eval_cfg)
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]
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