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