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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
45 lines
1.3 KiB
Python
45 lines
1.3 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 COPADatasetV2
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from opencompass.utils.text_postprocessors import first_option_postprocess
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COPA_reader_cfg = dict(
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input_columns=['question', 'premise', 'choice1', 'choice2'],
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output_column='label',
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)
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COPA_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(
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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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'{premise}\nQuestion: Which may be the {question}?\nA. {choice1}\nB. {choice2}\nAnswer:'
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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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COPA_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_option_postprocess, options='AB'),
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)
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COPA_datasets = [
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dict(
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abbr='COPA',
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type=COPADatasetV2,
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path='./data/SuperGLUE/COPA/val.jsonl',
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reader_cfg=COPA_reader_cfg,
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infer_cfg=COPA_infer_cfg,
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eval_cfg=COPA_eval_cfg,
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)
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]
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