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44 lines
1.2 KiB
Python
44 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 winograndeDataset_V2
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winogrande_reader_cfg = dict(
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input_columns=["opt1", "opt2"],
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output_column="label",
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test_split="validation")
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winogrande_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role="HUMAN",
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prompt=
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"Which of the following is a good sentence:\nA. {opt1}\nB. {opt2}\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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winogrande_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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winogrande_datasets = [
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dict(
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abbr="winogrande",
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type=winograndeDataset_V2,
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path="winogrande",
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name="winogrande_xs",
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reader_cfg=winogrande_reader_cfg,
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infer_cfg=winogrande_infer_cfg,
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eval_cfg=winogrande_eval_cfg,
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)
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]
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