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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
44 lines
1.4 KiB
Python
44 lines
1.4 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 CMNLIDatasetV2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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cmnli_reader_cfg = dict(
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input_columns=['sentence1', 'sentence2'],
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output_column='label',
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test_split='train')
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cmnli_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role='HUMAN',
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prompt=
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'语句一：“{sentence1}”\n语句二：“{sentence2}”\n请问这两句话是什么关系？\nA. 蕴含\nB. 矛盾\nC. 无关\n请从“A”，“B”，“C”中进行选择。\n答：'
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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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cmnli_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_capital_postprocess),
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)
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cmnli_datasets = [
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dict(
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abbr='cmnli',
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type=CMNLIDatasetV2,
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path='opencompass/cmnli-dev',
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reader_cfg=cmnli_reader_cfg,
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infer_cfg=cmnli_infer_cfg,
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eval_cfg=cmnli_eval_cfg,
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)
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]
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