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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
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
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 LLInferencer
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from opencompass.openicl.icl_evaluator import AccwithDetailsEvaluator
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from opencompass.datasets import WinograndeDatasetV3
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winogrande_reader_cfg = dict(
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input_columns=['opt1', 'opt2'],
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output_column='answer',
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train_split='train_xs',
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test_split='dev',
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)
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question_and_options = 'Which of the following is a good sentence:\nA. {opt1}\nB. {opt2}'
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winogrande_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template={'A': '{opt1}', 'B': '{opt2}'},
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),
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prompt_template=dict(
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type=PromptTemplate,
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template={'A': '</E>{opt1}', 'B': '</E>{opt2}'},
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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=LLInferencer),
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)
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winogrande_eval_cfg = dict(evaluator=dict(type=AccwithDetailsEvaluator))
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winogrande_datasets = [
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dict(
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abbr='winogrande',
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type=WinograndeDatasetV3,
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path='opencompass/winogrande',
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reader_cfg=winogrande_reader_cfg,
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infer_cfg=winogrande_infer_cfg,
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eval_cfg=winogrande_eval_cfg)
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]
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