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29 lines
1.3 KiB
Python
29 lines
1.3 KiB
Python
summarizer = dict(
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dataset_abbrs=[
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'######## GSM8K-Agent Accuracy ########', # category
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['gsm8k-agent', 'follow_acc'],
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['gsm8k-agent', 'reasoning_acc'],
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['gsm8k-agent', 'code_acc'],
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['gsm8k-agent', 'action_pct'],
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'######## MATH-Agent Accuracy ########', # category
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['math-agent', 'follow_acc'],
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['math-agent', 'reasoning_acc'],
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['math-agent', 'code_acc'],
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['math-agent', 'action_pct'],
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'######## MathBench-Agent Accuracy ########', # category
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['mathbench-college-single_choice_cn-agent', 'acc_1'],
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['mathbench-college-cloze_en-agent', 'accuracy'],
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['mathbench-high-single_choice_cn-agent', 'acc_1'],
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['mathbench-high-single_choice_en-agent', 'acc_1'],
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['mathbench-middle-single_choice_cn-agent', 'acc_1'],
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['mathbench-primary-cloze_cn-agent', 'accuracy'],
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'######## MathBench-Agent CircularEval ########', # category
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['mathbench-college-single_choice_cn-agent', 'perf_4'],
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['mathbench-high-single_choice_cn-agent', 'perf_4'],
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['mathbench-high-single_choice_en-agent', 'perf_4'],
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['mathbench-middle-single_choice_cn-agent', 'perf_4'],
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],
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summary_groups=sum(
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[v for k, v in locals().items() if k.endswith("_summary_groups")], [])
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)
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