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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
eprstmt_reader_cfg = dict(
input_columns=['sentence'], output_column='label', test_split='train')
eprstmt_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
'Negative': ' 内容: "{sentence}"。情绪分类:消极。',
'Positive': ' 内容: "{sentence}"。情绪分类:积极。',
}),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
eprstmt_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
eprstmt_datasets = [
dict(
type=HFDataset,
abbr='eprstmt-dev',
path='json',
data_files='./data/FewCLUE/eprstmt/dev_few_all.json',
split='train',
reader_cfg=eprstmt_reader_cfg,
infer_cfg=eprstmt_infer_cfg,
eval_cfg=eprstmt_eval_cfg),
dict(
type=HFDataset,
abbr='eprstmt-test',
path='json',
data_files='./data/FewCLUE/eprstmt/test_public.json',
split='train',
reader_cfg=eprstmt_reader_cfg,
infer_cfg=eprstmt_infer_cfg,
eval_cfg=eprstmt_eval_cfg)
]