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46cc7894e1
* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
46 lines
1.5 KiB
Python
46 lines
1.5 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 siqaDataset
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siqa_reader_cfg = dict(
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input_columns=['context', 'question', 'answerA', 'answerB', 'answerC'],
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output_column='label',
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test_split='validation')
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siqa_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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1:
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dict(round=[
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dict(role='HUMAN', prompt='{context}\nQuestion: {question}\nAnswer:'),
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dict(role='BOT', prompt='{answerA}')
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]),
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2:
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dict(round=[
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dict(role='HUMAN', prompt='{context}\nQuestion: {question}\nAnswer:'),
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dict(role='BOT', prompt='{answerB}')
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]),
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3:
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dict(round=[
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dict(role='HUMAN', prompt='{context}\nQuestion: {question}\nAnswer:'),
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dict(role='BOT', prompt='{answerC}')
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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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siqa_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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siqa_datasets = [
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dict(
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abbr='siqa',
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type=siqaDataset,
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path='opencompass/siqa',
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reader_cfg=siqa_reader_cfg,
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infer_cfg=siqa_infer_cfg,
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eval_cfg=siqa_eval_cfg)
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]
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