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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 GenInferencer
from opencompass.openicl.icl_evaluator import AccEvaluator
from opencompass.datasets import ARCDataset
from opencompass.utils.text_postprocessors import first_option_postprocess
ARC_c_reader_cfg = dict(
input_columns=["question", "textA", "textB", "textC", "textD"],
output_column="answerKey")
ARC_c_infer_cfg = dict(
prompt_template=dict(
type=PromptTemplate,
template=dict(
round=[
dict(
role="HUMAN",
prompt=
"Question: {question}\nA. {textA}\nB. {textB}\nC. {textC}\nD. {textD}\nAnswer:"
)
], ),
),
retriever=dict(type=ZeroRetriever),
inferencer=dict(type=GenInferencer),
)
ARC_c_eval_cfg = dict(
evaluator=dict(type=AccEvaluator),
pred_role="BOT",
pred_postprocessor=dict(type=first_option_postprocess, options='ABCD'),
)
ARC_c_datasets = [
dict(
abbr="ARC-c",
type=ARCDataset,
path="./data/ARC/ARC-c/ARC-Challenge-Dev.jsonl",
reader_cfg=ARC_c_reader_cfg,
infer_cfg=ARC_c_infer_cfg,
eval_cfg=ARC_c_eval_cfg,
)
]
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