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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 CLPInferencer
from opencompass.openicl.icl_evaluator import AUCROCEvaluator
from opencompass.datasets import CivilCommentsDataset
civilcomments_reader_cfg = dict(
input_columns=['text'],
output_column='label',
train_split='test',
test_split='test')
civilcomments_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(round=[
dict(
role="HUMAN",
prompt="Text: {text}\nQuestion: Does the above text contain "
"rude, hateful, aggressive, disrespectful or unreasonable "
"language?\nAnswer:")
])),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=CLPInferencer))
civilcomments_eval_cfg = dict(evaluator=dict(type=AUCROCEvaluator), )
civilcomments_datasets = [
dict(
type=CivilCommentsDataset,
path='civil_comments',
reader_cfg=civilcomments_reader_cfg,
infer_cfg=civilcomments_infer_cfg,
eval_cfg=civilcomments_eval_cfg)
]
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