open-llm-leaderboard-old/details_haoranxu__ALMA-13B-R

该数据集是在评估模型haoranxu/ALMA-13B-R时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集由63个配置组成，每个配置对应一个评估任务。数据集从1次运行中创建，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haoranxu/ALMA-13B-R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。数据集从1次运行中创建，每个运行可以在每个配置中作为一个特定的分片找到，分片名称使用运行的时间戳。"train"分片始终指向最新的结果。

数据集结构

数据集包含以下配置：

• harness_arc_challenge_25
• harness_gsm8k_5
• harness_hellaswag_10
• harness_hendrycksTest_5

每个配置包含多个数据文件，分为不同的分片（如2024_01_20T07_24_09.655926和latest），每个分片对应一个或多个数据文件路径。

数据加载示例

以下是加载数据集的示例代码： python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_haoranxu__ALMA-13B-R", "harness_winogrande_5", split="train")

最新结果

以下是最新结果的部分摘要： python { "all": { "acc": 0.4935056783282025, "acc_stderr": 0.03402030256976682, "acc_norm": 0.5012713038885745, "acc_norm_stderr": 0.03495235233822466, "mc1": 0.2521419828641371, "mc1_stderr": 0.015201522246299962, "mc2": 0.36085639370497274, "mc2_stderr": 0.013958476205822561 }, "harness|arc:challenge|25": { "acc": 0.5290102389078498, "acc_stderr": 0.014586776355294328, "acc_norm": 0.5554607508532423, "acc_norm_stderr": 0.01452122640562708 }, "harness|hellaswag|10": { "acc": 0.5967934674367655, "acc_stderr": 0.004895390341445622, "acc_norm": 0.7944632543318064, "acc_norm_stderr": 0.00403267443344754 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5481481481481482, "acc_stderr": 0.04299268905480864, "acc_norm": 0.5481481481481482, "acc_norm_stderr": 0.04299268905480864 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5, "acc_stderr": 0.04068942293855797, "acc_norm": 0.5, "acc_norm_stderr": 0.04068942293855797 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5207547169811321, "acc_stderr": 0.030746349975723463, "acc_norm": 0.5207547169811321, "acc_norm_stderr": 0.030746349975723463 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5138888888888888, "acc_stderr": 0.041795966175810016, "acc_norm": 0.5138888888888888, "acc_norm_stderr": 0.041795966175810016 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4682080924855491, "acc_stderr": 0.03804749744364764, "acc_norm": 0.4682080924855491, "acc_norm_stderr": 0.03804749744364764 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.24509803921568626, "acc_stderr": 0.04280105837364397, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.04280105837364397 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4127659574468085, "acc_stderr": 0.03218471141400352, "acc_norm": 0.4127659574468085, "acc_norm_stderr": 0.03218471141400352 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489362, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489362 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4482758620689655, "acc_stderr": 0.04144311810878152, "acc_norm": 0.4482758620689655, "acc_norm_stderr": 0.04144311810878152 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.328042328042328, "acc_stderr": 0.024180497164376907, "acc_norm": 0.328042328042328, "acc_norm_stderr": 0.024180497164376907 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.25396825396825395, "acc_stderr": 0.038932596106046734, "acc_norm": 0.25396825396825395, "acc_norm_stderr": 0.038932596106046734 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5516129032258065, "acc_stderr": 0.028292056830112735, "acc_norm": 0.5516129032258065, "acc_norm_stderr": 0.028292056830112735 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3793103448275862, "acc_stderr": 0.03413963805906235, "acc_norm": 0.3793103448275862, "acc_norm_stderr": 0.03413963805906235 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6181818181818182, "acc_stderr": 0.03793713171165635, "acc_norm": 0.6181818181818182, "acc_norm_stderr": 0.03793713171165635 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5808080808080808, "acc_stderr": 0.03515520728670417, "acc_norm": 0.5808080808080808, "acc_norm_stderr": 0.03515520728670417 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.689119170984456, "acc_stderr": 0.033403619062765864, "acc_norm": 0.689119170984456, "acc_norm_stderr": 0.033403619062765864 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.44871794871794873, "acc_stderr": 0.025217315184846482, "acc_norm": 0.44871794871794873, "acc_norm_stderr": 0.025217315184846482 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.02696242432507383, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.02