open-llm-leaderboard-old/details_JoSw-14__LoKuS-13B

该数据集是在Open LLM Leaderboard上对模型JoSw-14/LoKuS-13B进行评估运行时自动创建的。数据集由61个配置组成，每个配置对应一个评估任务。数据集是从一次或多次运行中生成的，每次运行在每个配置中表示为特定的分割，train分割始终指向最新结果。此外，还有一个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。README还提供了如何使用`datasets`库中的`load_dataset`函数加载运行中的详细信息的示例。最后，它包含了特定运行的最新结果，展示了不同任务的各种指标，如准确率和错误率。

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 JoSw-14/LoKuS-13B 在 Open LLM Leaderboard 上的自动创建的。数据集包含 61 个配置，每个配置对应一个评估任务。

数据集结构

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。

额外配置

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_JoSw-14__LoKuS-13B", "harness_truthfulqa_mc_0", split="train")

最新结果

最新结果概览

以下是 2023-08-30T14:44:55.625857 运行的最新结果：

python { "all": { "acc": 0.7392017775637323, "acc_stderr": 0.02998325172953868, "acc_norm": 0.7430126648780258, "acc_norm_stderr": 0.02996682963285512, "mc1": 0.3537331701346389, "mc1_stderr": 0.016737814358846147, "mc2": 0.5139290818009655, "mc2_stderr": 0.015442752112557084 }, "harness|arc:challenge|25": { "acc": 0.5418088737201365, "acc_stderr": 0.0145602203087147, "acc_norm": 0.5776450511945392, "acc_norm_stderr": 0.014434138713379986 }, "harness|hellaswag|10": { "acc": 0.6050587532364071, "acc_stderr": 0.004878390226591711, "acc_norm": 0.7940649273053176, "acc_norm_stderr": 0.004035568117596522 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "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": 0.7697368421052632, "acc_stderr": 0.034260594244031654, "acc_norm": 0.7697368421052632, "acc_norm_stderr": 0.034260594244031654 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8377358490566038, "acc_stderr": 0.022691482872035377, "acc_norm": 0.8377358490566038, "acc_norm_stderr": 0.022691482872035377 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8055555555555556, "acc_stderr": 0.03309615177059006, "acc_norm": 0.8055555555555556, "acc_norm_stderr": 0.03309615177059006 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.55, "acc_stderr": 0.049999999999999996, "acc_norm": 0.55, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.68, "acc_stderr": 0.046882617226215034, "acc_norm": 0.68, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7456647398843931, "acc_stderr": 0.0332055644308557, "acc_norm": 0.7456647398843931, "acc_norm_stderr": 0.0332055644308557 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5098039215686274, "acc_stderr": 0.04974229460422817, "acc_norm": 0.5098039215686274, "acc_norm_stderr": 0.04974229460422817 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7063829787234043, "acc_stderr": 0.02977164271249123, "acc_norm": 0.7063829787234043, "acc_norm_stderr": 0.02977164271249123 }, "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": 0.7172413793103448, "acc_stderr": 0.03752833958003336, "acc_norm": 0.7172413793103448, "acc_norm_stderr": 0.03752833958003336 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5079365079365079, "acc_stderr": 0.02574806587167329, "acc_norm": 0.5079365079365079, "acc_norm_stderr": 0.02574806587167329 }, "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": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8032258064516129, "acc_stderr": 0.022616409420742025, "acc_norm": 0.8032258064516129, "acc_norm_stderr": 0.022616409420742025 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6551724137931034, "acc_stderr": 0.033442837442804574, "acc_norm": 0.6551724137931034, "acc_norm_stderr": 0.033442837442804574 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8787878787878788, "acc_stderr": 0.025485498373343237, "acc_norm": 0.8787878787878788, "acc_norm_stderr": 0.025485498373343237 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8939393939393939, "acc_stderr": 0.02193804773885313, "acc_norm": 0.8939393939393939, "acc_norm_stderr": 0.02193804773885313 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9067357512953368, "acc_stderr": 0.0209868545932897, "acc_norm": 0.9067357512953368, "acc_norm_stderr": 0.0209868545932897 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7153846153846154, "acc_stderr": 0.0228783227997063, "acc_norm": 0.7153846153846154, "acc_norm_stderr": 0.0228783227997063 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.45185185185185184, "acc_stderr": 0.030343862998512626, "acc_norm": 0.45185185185185184, "