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47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import FixKRetriever
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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_V3
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from opencompass.utils.text_postprocessors import first_option_postprocess
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winogrande_reader_cfg = dict(
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input_columns=["opt1", "opt2"],
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output_column="answer",
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train_split="train_xs",
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test_split="dev",
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)
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winogrande_infer_cfg = dict(
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ice_template=dict(
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type=PromptTemplate,
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template=dict(
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begin="</E>",
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round=[
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dict(role="HUMAN", prompt="Which of the following is a good sentence:\nA. {opt1}\nB. {opt2}\nAnswer:"),
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dict(role="BOT", prompt="{answer}"),
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]
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),
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ice_token="</E>",
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),
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retriever=dict(type=FixKRetriever, fix_id_list=[0, 2, 4, 6, 8]),
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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_option_postprocess, options="AB"),
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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_V3,
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path="./data/winogrande",
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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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