2023-11-20 16:48:55 +08:00
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summarizer = dict(
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dataset_abbrs=[
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'######## MathBench Accuracy ########', # category
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['mathbench-college-single_choice_cn', 'acc_1'],
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['mathbench-college-cloze_en', 'accuracy'],
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['mathbench-high-single_choice_cn', 'acc_1'],
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['mathbench-high-single_choice_en', 'acc_1'],
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['mathbench-middle-single_choice_cn', 'acc_1'],
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['mathbench-primary-cloze_cn', 'accuracy'],
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'######## MathBench CircularEval ########', # category
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['mathbench-college-single_choice_cn', 'perf_4'],
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['mathbench-high-single_choice_cn', 'perf_4'],
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['mathbench-high-single_choice_en', 'perf_4'],
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['mathbench-middle-single_choice_cn', 'perf_4'],
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],
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summary_groups=sum(
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2024-05-14 15:35:58 +08:00
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[v for k, v in locals().items() if k.endswith('_summary_groups')], [])
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2023-11-20 16:48:55 +08:00
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)
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