45 lines
1.3 KiB
Python
45 lines
1.3 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 COPADataset_V2
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from opencompass.utils.text_postprocessors import first_option_postprocess
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COPA_reader_cfg = dict(
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input_columns=["question", "premise", "choice1", "choice2"],
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output_column="label",
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)
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COPA_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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"{premise}\nQuestion: Which may be the {question}?\nA. {choice1}\nB. {choice2}\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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COPA_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_option_postprocess, options='AB'),
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)
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COPA_datasets = [
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dict(
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abbr="COPA",
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type=COPADataset_V2,
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path="./data/SuperGLUE/COPA/val.jsonl",
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reader_cfg=COPA_reader_cfg,
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infer_cfg=COPA_infer_cfg,
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eval_cfg=COPA_eval_cfg,
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)
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]
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