open-llm-leaderboard-old/details_allknowingroger__NexusRaven-15B-pass

该数据集是在模型allknowingroger/NexusRaven-15B-pass的评估运行中自动创建的，包含63个配置，每个配置对应一个评估任务。数据集是从1次运行中生成的，每次运行都可以在特定配置中找到，并且每个配置的split以运行的时间戳命名。此外，README还提供了如何加载数据集中的运行细节的示例代码，并展示了最新的评估结果。

原始信息汇总

数据集概述

该数据集是在对模型 allknowingroger/NexusRaven-15B-pass 进行评估运行时自动创建的，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。
• 数据集从 1 次运行中创建，每个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。
• 一个额外的配置 "results" 存储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_allknowingroger__NexusRaven-15B-pass", "harness_winogrande_5", split="train")

最新结果

以下是 2024-04-11T07:30:47.900772 运行的最新结果：

python { "all": { "acc": 0.4249753091336553, "acc_stderr": 0.034275379775475075, "acc_norm": 0.43178118203852844, "acc_norm_stderr": 0.0352092152747723, "mc1": 0.2802937576499388, "mc1_stderr": 0.015723139524608753, "mc2": 0.44836340333599356, "mc2_stderr": 0.016208658629744008 }, "harness|arc:challenge|25": { "acc": 0.3609215017064846, "acc_stderr": 0.014034761386175458, "acc_norm": 0.39078498293515357, "acc_norm_stderr": 0.014258563880513777 }, "harness|hellaswag|10": { "acc": 0.3986257717586138, "acc_stderr": 0.004886147907627405, "acc_norm": 0.518621788488349, "acc_norm_stderr": 0.0049863195875249604 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.37777777777777777, "acc_stderr": 0.04188307537595853, "acc_norm": 0.37777777777777777, "acc_norm_stderr": 0.04188307537595853 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.46710526315789475, "acc_stderr": 0.040601270352363966, "acc_norm": 0.46710526315789475, "acc_norm_stderr": 0.040601270352363966 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.46037735849056605, "acc_stderr": 0.030676096599389184, "acc_norm": 0.46037735849056605, "acc_norm_stderr": 0.030676096599389184 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3888888888888889, "acc_stderr": 0.04076663253918567, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.04076663253918567 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3699421965317919, "acc_stderr": 0.0368122963339432, "acc_norm": 0.3699421965317919, "acc_norm_stderr": 0.0368122963339432 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.27450980392156865, "acc_stderr": 0.04440521906179326, "acc_norm": 0.27450980392156865, "acc_norm_stderr": 0.04440521906179326 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.61, "acc_stderr": 0.04902071300001974, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3404255319148936, "acc_stderr": 0.03097669299853443, "acc_norm": 0.3404255319148936, "acc_norm_stderr": 0.03097669299853443 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.30701754385964913, "acc_stderr": 0.04339138322579861, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.04339138322579861 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.36551724137931035, "acc_stderr": 0.04013124195424385, "acc_norm": 0.36551724137931035, "acc_norm_stderr": 0.04013124195424385 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.31746031746031744, "acc_stderr": 0.023973861998992072, "acc_norm": 0.31746031746031744, "acc_norm_stderr": 0.023973861998992072 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2698412698412698, "acc_stderr": 0.03970158273235172, "acc_norm": 0.2698412698412698, "acc_norm_stderr": 0.03970158273235172 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.28, "acc_stderr": 0.045126085985421255, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421255 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.45483870967741935, "acc_stderr": 0.028327743091561067, "acc_norm": 0.45483870967741935, "acc_norm_stderr": 0.028327743091561067 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.37438423645320196, "acc_stderr": 0.03405155380561952, "acc_norm": 0.37438423645320196, "acc_norm_stderr": 0.03405155380561952 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5272727272727272, "acc_stderr": 0.03898531605579418, "acc_norm": 0.5272727272727272, "acc_norm_stderr": 0.03898531605579418 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5707070707070707, "acc_stderr": 0.03526552724601199, "acc_norm": 0.5707070707070707, "acc_norm_stderr": 0.03526552724601199 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.616580310880829, "acc_stderr": 0.03508984236295341, "acc_norm": 0.616580310880829, "acc_norm_stderr": 0.03508984236295341 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.34615384615384615, "acc_stderr": 0.024121125416941183, "acc_norm": 0.34615384615384615, "acc_norm_stderr": 0.024121125416941183 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.29259259259259257, "acc_stderr": 0.02773896963217609, "acc_norm": 0.2925