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summarizer = dict(
dataset_abbrs=[
'######## MathBench Accuracy ########', # category
['mathbench-college-single_choice_cn', 'acc_1'],
['mathbench-college-cloze_en', 'accuracy'],
['mathbench-high-single_choice_cn', 'acc_1'],
['mathbench-high-single_choice_en', 'acc_1'],
['mathbench-middle-single_choice_cn', 'acc_1'],
['mathbench-primary-cloze_cn', 'accuracy'],
'######## MathBench CircularEval ########', # category
['mathbench-college-single_choice_cn', 'perf_4'],
['mathbench-high-single_choice_cn', 'perf_4'],
['mathbench-high-single_choice_en', 'perf_4'],
['mathbench-middle-single_choice_cn', 'perf_4'],
],
summary_groups=sum(
[v for k, v in locals().items() if k.endswith("_summary_groups")], [])
)
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