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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 HFDataset
ocnli_reader_cfg = dict(
input_columns=['sentence1', 'sentence2'], output_column='label')
# TODO: two prompt templates for ocnli
ocnli_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))
ocnli_eval_cfg = dict(evaluator=dict(type=AccEvaluator), )
ocnli_datasets = [
dict(
type=HFDataset,
abbr='ocnli',
path='json',
split='train',
data_files='./data/CLUE/OCNLI/dev.json',
reader_cfg=ocnli_reader_cfg,
infer_cfg=ocnli_infer_cfg,
eval_cfg=ocnli_eval_cfg)
]