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from opencompass.openicl.icl_prompt_template import PromptTemplate
from opencompass.openicl.icl_retriever import ZeroRetriever
from opencompass.openicl.icl_inferencer import PPLInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import cmnliDataset
cmnli_reader_cfg = dict(
input_columns=['sentence1', 'sentence2'],
output_column='label',
test_split='train')
cmnli_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
'contradiction':
'阅读文章：{sentence1}\n根据上文，回答如下问题： {sentence2}？\n答：错',
'entailment': '阅读文章：{sentence1}\n根据上文，回答如下问题： {sentence2}？\n答：对',
'neutral': '如果{sentence1}为真，那么{sentence2}也为真吗?可能'
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
cmnli_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
cmnli_datasets = [
dict(
abbr="cmnli",
type=cmnliDataset,
path='./data/CLUE/cmnli/cmnli_public/dev.json',
reader_cfg=cmnli_reader_cfg,
infer_cfg=cmnli_infer_cfg,
eval_cfg=cmnli_eval_cfg)
]
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