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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 ARCDataset
ARC_e_reader_cfg = dict(
input_columns=['question', 'textA', 'textB', 'textC', 'textD'],
output_column='answerKey')
ARC_e_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template={
opt: dict(
round=[
dict(role="HUMAN", prompt=f"{{question}}\nA. {{textA}}\nB. {{textB}}\nC. {{textC}}\nD. {{textD}}"),
dict(role="BOT", prompt=f"Answer: {opt}"),
]
) for opt in ["A", "B", "C", "D"]
},
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=PPLInferencer))
ARC_e_eval_cfg = dict(evaluator=dict(type=AccEvaluator))
ARC_e_datasets = [
dict(
type=ARCDataset,
abbr='ARC-e',
path='./data/ARC/ARC-e/ARC-Easy-Dev.jsonl',
reader_cfg=ARC_e_reader_cfg,
infer_cfg=ARC_e_infer_cfg,
eval_cfg=ARC_e_eval_cfg)
]
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