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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
56 lines
1.6 KiB
Python
56 lines
1.6 KiB
Python
# Use FixKRetriever to avoid hang caused by the Huggingface
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import FixKRetriever
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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 commonsenseqaDataset
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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commonsenseqa_reader_cfg = dict(
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input_columns=['question', 'A', 'B', 'C', 'D', 'E'],
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output_column='answerKey',
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test_split='validation')
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_ice_template = dict(
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type=PromptTemplate,
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template=dict(
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begin='</E>',
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round=[
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dict(
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role='HUMAN',
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prompt=
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'{question}\nA. {A}\nB. {B}\nC. {C}\nD. {D}\nE. {E}\nAnswer:',
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),
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dict(
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role='BOT',
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prompt='{answerKey}',
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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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commonsenseqa_infer_cfg = dict(
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ice_template=_ice_template,
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 1, 2, 3, 4, 5, 6, 7]),
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inferencer=dict(type=GenInferencer),
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)
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commonsenseqa_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_postprocessor=dict(type=first_capital_postprocess),
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)
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commonsenseqa_datasets = [
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dict(
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abbr='commonsense_qa',
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type=commonsenseqaDataset,
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path='opencompass/commonsense_qa',
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reader_cfg=commonsenseqa_reader_cfg,
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infer_cfg=commonsenseqa_infer_cfg,
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eval_cfg=commonsenseqa_eval_cfg,
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)
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]
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del _ice_template
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