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48 lines
1.4 KiB
Python
48 lines
1.4 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, FixKRetriever
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import BoolQDatasetV2
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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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BoolQ_reader_cfg = dict(
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input_columns=['question', 'passage'],
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output_column='label',
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)
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BoolQ_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={
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'B': dict(
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round=[
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dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
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dict(role='BOT', prompt='No'),
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]
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),
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'A': dict(
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round=[
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dict(role='HUMAN', prompt='{passage}\nQuestion: {question}?'),
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dict(role='BOT', prompt='Yes'),
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]
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),
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},
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ice_token='</E>',
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
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inferencer=dict(type=PPLInferencer, max_out_len=50),
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)
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BoolQ_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
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BoolQ_datasets = [
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dict(
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abbr='BoolQ',
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type=BoolQDatasetV2,
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path='opencompass/boolq',
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reader_cfg=BoolQ_reader_cfg,
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infer_cfg=BoolQ_infer_cfg,
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eval_cfg=BoolQ_eval_cfg,
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)
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]
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