open-llm-leaderboard-old/details_AA051615__A0305a

该数据集是在模型AA051615/A0305a的评估运行期间自动创建的，用于在Open LLM Leaderboard上进行评估。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行可以在每个配置中找到，运行的时间戳作为分割名称。train分割始终指向最新结果。此外，results配置存储了所有运行的聚合结果，用于计算和显示Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

该数据集是在模型AA051615/A0305a在Open LLM Leaderboard上的评估运行期间自动创建的。数据集包含63个配置，每个配置对应一个评估任务。

数据集结构

• 配置数量：63个配置，每个配置对应一个评估任务。
• 数据来源：数据集从1次运行中创建，每个运行在每个配置中作为一个特定的分片存在，分片名称使用运行的时间戳。
• 最新结果："train"分片始终指向最新的结果。
• 结果汇总：一个额外的配置"results"存储所有运行的汇总结果，用于计算和显示在Open LLM Leaderboard上的聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_AA051615__A0305a", "harness_winogrande_5", split="train")

最新结果

以下是2024-03-06T00:38:10.412538运行的最新结果：

python { "all": { "acc": 0.749185114502518, "acc_stderr": 0.028187673063681265, "acc_norm": 0.7549725341672238, "acc_norm_stderr": 0.028698055518822745, "mc1": 0.3598531211750306, "mc1_stderr": 0.01680186046667714, "mc2": 0.5173907130984454, "mc2_stderr": 0.015436053888120308 }, "harness|arc:challenge|25": { "acc": 0.5836177474402731, "acc_stderr": 0.014405618279436172, "acc_norm": 0.613481228668942, "acc_norm_stderr": 0.014230084761910471 }, "harness|hellaswag|10": { "acc": 0.611431985660227, "acc_stderr": 0.004864286176731831, "acc_norm": 0.8040231029675363, "acc_norm_stderr": 0.003961395637784951 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7333333333333333, "acc_stderr": 0.038201699145179055, "acc_norm": 0.7333333333333333, "acc_norm_stderr": 0.038201699145179055 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.875, "acc_stderr": 0.026913523521537846, "acc_norm": 0.875, "acc_norm_stderr": 0.026913523521537846 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.8, "acc_stderr": 0.040201512610368445, "acc_norm": 0.8, "acc_norm_stderr": 0.040201512610368445 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8301886792452831, "acc_stderr": 0.023108393799841326, "acc_norm": 0.8301886792452831, "acc_norm_stderr": 0.023108393799841326 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9027777777777778, "acc_stderr": 0.024774516250440182, "acc_norm": 0.9027777777777778, "acc_norm_stderr": 0.024774516250440182 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7283236994219653, "acc_stderr": 0.0339175032232166, "acc_norm": 0.7283236994219653, "acc_norm_stderr": 0.0339175032232166 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4215686274509804, "acc_stderr": 0.049135952012744975, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.049135952012744975 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.85, "acc_stderr": 0.03588702812826371, "acc_norm": 0.85, "acc_norm_stderr": 0.03588702812826371 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7361702127659574, "acc_stderr": 0.02880998985410295, "acc_norm": 0.7361702127659574, "acc_norm_stderr": 0.02880998985410295 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5614035087719298, "acc_stderr": 0.04668000738510455, "acc_norm": 0.5614035087719298, "acc_norm_stderr": 0.04668000738510455 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7931034482758621, "acc_stderr": 0.03375672449560553, "acc_norm": 0.7931034482758621, "acc_norm_stderr": 0.03375672449560553 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6640211640211641, "acc_stderr": 0.024326310529149138, "acc_norm": 0.6640211640211641, "acc_norm_stderr": 0.024326310529149138 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5238095238095238, "acc_stderr": 0.04467062628403273, "acc_norm": 0.5238095238095238, "acc_norm_stderr": 0.04467062628403273 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.9193548387096774, "acc_stderr": 0.015490002961591037, "acc_norm": 0.9193548387096774, "acc_norm_stderr": 0.015490002961591037 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6305418719211823, "acc_stderr": 0.03395970381998574, "acc_norm": 0.6305418719211823, "acc_norm_stderr": 0.03395970381998574 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.77, "acc_stderr": 0.04229525846816505, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8848484848484849, "acc_stderr": 0.024925699798115347, "acc_norm": 0.8848484848484849, "acc_norm_stderr": 0.024925699798115347 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9292929292929293, "acc_stderr": 0.0182631054201995, "acc_norm": 0.9292929292929293, "acc_norm_stderr": 0.0182631054201995 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9637305699481865, "acc_stderr": 0.013492659751295138, "acc_norm": 0.9637305699481865, "acc_norm_stderr": 0.013492659751295138 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8, "acc_stderr": 0.020280805062535726, "acc_norm": 0.8, "acc_norm_stderr": 0.020280805062535726 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3962962962962963, "acc_stderr": 0.029822619458533994, "acc_norm": 0.3962962962962963, "acc_norm_stderr": 0.029822619458533994 }, "harness|hendrycksTest-high_