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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
52 lines
1.4 KiB
Python
52 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 GenInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import C3Dataset_V2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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C3_reader_cfg = dict(
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input_columns=[
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'question',
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'content',
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'choice0',
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'choice1',
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'choice2',
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'choice3',
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'choices',
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],
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output_column='label',
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)
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C3_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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'{content}\n问：{question}\nA. {choice0}\nB. {choice1}\nC. {choice2}\nD. {choice3}\n请从“A”，“B”，“C”，“D”中进行选择。\n答：',
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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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C3_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=first_capital_postprocess),
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)
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C3_datasets = [
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dict(
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abbr='C3',
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type=C3Dataset_V2,
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path='./data/CLUE/C3/dev_0.json',
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reader_cfg=C3_reader_cfg,
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infer_cfg=C3_infer_cfg,
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eval_cfg=C3_eval_cfg,
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)
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]
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