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40 lines
1.1 KiB
Python
40 lines
1.1 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 GenInferencer
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from opencompass.openicl.icl_evaluator import RougeEvaluator
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from opencompass.datasets import XsumDataset
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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=dict(round=[
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dict(
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role="HUMAN",
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prompt=
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"Document：{dialogue}\nBased on the previous text, provide a brief single summary:"
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),
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]),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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Xsum_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="Xsum"),
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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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]
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