open-llm-leaderboard-old/details_lodrick-the-lafted__Kaiju-A-57B

该数据集是在模型lodrick-the-lafted/Kaiju-A-57B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。数据集是从1次运行中创建的，每次运行可以在每个配置中找到特定的分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，results配置存储了所有运行的聚合结果，并用于计算和显示Open LLM Leaderboard上的聚合指标。

原始信息汇总

数据集概述

数据集简介

该数据集是在评估模型 lodrick-the-lafted/Kaiju-A-57B 在 Open LLM Leaderboard 上的自动创建的。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
• 数据来源：1 次运行（run）
• 数据分割：每个配置包含特定分割，分割名称使用运行的时间戳。"train" 分割始终指向最新结果。
• 额外配置："results" 配置存储所有运行的聚合结果，用于计算和显示聚合指标在 Open LLM Leaderboard 上。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_lodrick-the-lafted__Kaiju-A-57B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-27T01:27:59.562237 运行的最新结果：

python { "all": { "acc": 0.7178822015085922, "acc_stderr": 0.029673078856242294, "acc_norm": 0.7256356187223614, "acc_norm_stderr": 0.03024077632130727, "mc1": 0.3806609547123623, "mc1_stderr": 0.01699762787190793, "mc2": 0.5229332456093395, "mc2_stderr": 0.016009098006127483 }, "harness|arc:challenge|25": { "acc": 0.5742320819112628, "acc_stderr": 0.014449464278868802, "acc_norm": 0.5878839590443686, "acc_norm_stderr": 0.0143839153022254 }, "harness|hellaswag|10": { "acc": 0.6301533559051982, "acc_stderr": 0.0048177635814102395, "acc_norm": 0.8095000995817566, "acc_norm_stderr": 0.00391892855659048 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6814814814814815, "acc_stderr": 0.04024778401977108, "acc_norm": 0.6814814814814815, "acc_norm_stderr": 0.04024778401977108 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8421052631578947, "acc_stderr": 0.02967416752010146, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.02967416752010146 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.77, "acc_stderr": 0.04229525846816505, "acc_norm": 0.77, "acc_norm_stderr": 0.04229525846816505 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.769811320754717, "acc_stderr": 0.025907897122408166, "acc_norm": 0.769811320754717, "acc_norm_stderr": 0.025907897122408166 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8333333333333334, "acc_stderr": 0.03116489966694863, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.03116489966694863 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.63, "acc_stderr": 0.048523658709391, "acc_norm": 0.63, "acc_norm_stderr": 0.048523658709391 }, "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": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.048971049527263666, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.048971049527263666 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7319148936170212, "acc_stderr": 0.028957342788342343, "acc_norm": 0.7319148936170212, "acc_norm_stderr": 0.028957342788342343 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6620689655172414, "acc_stderr": 0.03941707632064891, "acc_norm": 0.6620689655172414, "acc_norm_stderr": 0.03941707632064891 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5714285714285714, "acc_stderr": 0.025487187147859375, "acc_norm": 0.5714285714285714, "acc_norm_stderr": 0.025487187147859375 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5793650793650794, "acc_stderr": 0.04415438226743745, "acc_norm": 0.5793650793650794, "acc_norm_stderr": 0.04415438226743745 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8903225806451613, "acc_stderr": 0.017776778700485198, "acc_norm": 0.8903225806451613, "acc_norm_stderr": 0.017776778700485198 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6354679802955665, "acc_stderr": 0.0338640574606209, "acc_norm": 0.6354679802955665, "acc_norm_stderr": 0.0338640574606209 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8424242424242424, "acc_stderr": 0.028450388805284357, "acc_norm": 0.8424242424242424, "acc_norm_stderr": 0.028450388805284357 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8787878787878788, "acc_stderr": 0.023253157951942084, "acc_norm": 0.8787878787878788, "acc_norm_stderr": 0.023253157951942084 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9637305699481865, "acc_stderr": 0.013492659751295145, "acc_norm": 0.9637305699481865, "acc_norm_stderr": 0.013492659751295145 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7564102564102564, "acc_stderr": 0.021763733684173916, "acc_norm": 0.7564102564102564, "acc_norm_stderr": 0.021763733684173916 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34074074074074073, "acc_stderr": 0.028897748741131137, "acc_norm": 0.34074074