open-llm-leaderboard-old/details_mistralai__Mixtral-8x22B-v0.1

该数据集是在模型mistralai/Mixtral-8x22B-v0.1在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。它包含一次运行的结果，每次运行在每个配置中表示为特定的分割。train分割始终指向最新的结果。一个名为results的额外配置存储了所有运行的聚合结果，这些结果用于计算和显示Open LLM Leaderboard上的聚合指标。README还提供了如何使用Hugging Face datasets库加载数据集的示例。

原始信息汇总

数据集概述

数据集简介

该数据集是在对模型 mistralai/Mixtral-8x22B-v0.1 进行评估时自动创建的，用于 Open LLM Leaderboard。

数据集组成

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 次运行创建，每个运行可以在每个配置中找到特定的拆分，拆分名称使用运行的时间戳。"train" 拆分始终指向最新的结果。

额外配置

一个额外的配置 "results" 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。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_mistralai__Mixtral-8x22B-v0.1", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-18T04:08:50.327748 运行的最新结果：

python { "all": { "acc": 0.7754391186630896, "acc_stderr": 0.027791214665058565, "acc_norm": 0.7785933169200626, "acc_norm_stderr": 0.028326105199808844, "mc1": 0.3329253365973072, "mc1_stderr": 0.016497402382012055, "mc2": 0.5095160399804991, "mc2_stderr": 0.014553872488484169 }, "harness|arc:challenge|25": { "acc": 0.6672354948805461, "acc_stderr": 0.0137698630461923, "acc_norm": 0.7064846416382252, "acc_norm_stderr": 0.013307250444941122 }, "harness|hellaswag|10": { "acc": 0.7044413463453495, "acc_stderr": 0.00455360940574723, "acc_norm": 0.8873730332603067, "acc_norm_stderr": 0.0031549016391045916 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.762962962962963, "acc_stderr": 0.03673731683969506, "acc_norm": 0.762962962962963, "acc_norm_stderr": 0.03673731683969506 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.868421052631579, "acc_stderr": 0.027508689533549905, "acc_norm": 0.868421052631579, "acc_norm_stderr": 0.027508689533549905 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8264150943396227, "acc_stderr": 0.02331058302600625, "acc_norm": 0.8264150943396227, "acc_norm_stderr": 0.02331058302600625 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8958333333333334, "acc_stderr": 0.025545239210256917, "acc_norm": 0.8958333333333334, "acc_norm_stderr": 0.025545239210256917 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.71, "acc_stderr": 0.04560480215720684, "acc_norm": 0.71, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.791907514450867, "acc_stderr": 0.030952890217749877, "acc_norm": 0.791907514450867, "acc_norm_stderr": 0.030952890217749877 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5294117647058824, "acc_stderr": 0.049665709039785295, "acc_norm": 0.5294117647058824, "acc_norm_stderr": 0.049665709039785295 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.8170212765957446, "acc_stderr": 0.02527604100044995, "acc_norm": 0.8170212765957446, "acc_norm_stderr": 0.02527604100044995 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.6754385964912281, "acc_stderr": 0.04404556157374768, "acc_norm": 0.6754385964912281, "acc_norm_stderr": 0.04404556157374768 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7586206896551724, "acc_stderr": 0.03565998174135302, "acc_norm": 0.7586206896551724, "acc_norm_stderr": 0.03565998174135302 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6164021164021164, "acc_stderr": 0.0250437573185202, "acc_norm": 0.6164021164021164, "acc_norm_stderr": 0.0250437573185202 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.6031746031746031, "acc_stderr": 0.0437588849272706, "acc_norm": 0.6031746031746031, "acc_norm_stderr": 0.0437588849272706 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.9032258064516129, "acc_stderr": 0.016818943416345197, "acc_norm": 0.9032258064516129, "acc_norm_stderr": 0.016818943416345197 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6699507389162561, "acc_stderr": 0.03308530426228258, "acc_norm": 0.6699507389162561, "acc_norm_stderr": 0.03308530426228258 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.87, "acc_stderr": 0.03379976689896309, "acc_norm": 0.87, "acc_norm_stderr": 0.03379976689896309 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8545454545454545, "acc_stderr": 0.027530196355066584, "acc_norm": 0.8545454545454545, "acc_norm_stderr": 0.027530196355066584 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9141414141414141, "acc_stderr": 0.01996022556317289, "acc_norm": 0.9141414141414141, "acc_norm_stderr": 0.01996022556317289 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9689119170984456, "acc_stderr": 0.012525310625527041, "acc_norm": 0.9689119170984456, "acc_norm_stderr": 0.012525310625527041 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8, "acc_stderr": 0.020280805062535722, "acc_norm": 0.8, "acc_norm_stderr": 0.020280805062535722 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.45555555555555555, "acc_stderr": 0.030364862504824435, "acc_norm": 0.45555555555555555, "acc_norm_stderr": 0.030364862504824435 }, "harness|hendrycksTest-high_school_microeconomics|5":