open-llm-leaderboard-old/details_AI-Sweden-Models__gpt-sw3-20b

该数据集是在模型AI-Sweden-Models/gpt-sw3-20b在Open LLM Leaderboard上的评估运行期间自动创建的。它由64个配置组成，每个配置对应一个被评估的任务。数据集来自1次运行，每次运行在每个配置中表示为特定的分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。一个名为results的额外配置存储了运行的所有聚合结果，这些结果用于计算和显示Open LLM Leaderboard上的聚合指标。可以使用Hugging Face的datasets库加载该数据集，如提供的Python代码片段所示。

原始信息汇总

数据集概述

该数据集是在对模型 AI-Sweden-Models/gpt-sw3-20b 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 64 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，每次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。
• 额外的 "results" 配置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_AI-Sweden-Models__gpt-sw3-20b_public", "harness_winogrande_5", split="train")

最新结果

以下是 2023-11-18T22:18:06.041004 运行的最新结果：

python { "all": { "acc": 0.2917409259387278, "acc_stderr": 0.031996943680235174, "acc_norm": 0.2937476215264222, "acc_norm_stderr": 0.032809325583186354, "mc1": 0.23011015911872704, "mc1_stderr": 0.014734557959807767, "mc2": 0.37096560638460435, "mc2_stderr": 0.013667285437196756, "em": 0.013108221476510067, "em_stderr": 0.0011647864293203474, "f1": 0.06517617449664448, "f1_stderr": 0.0017212538746189806 }, "harness|arc:challenge|25": { "acc": 0.38139931740614336, "acc_stderr": 0.014194389086685261, "acc_norm": 0.4180887372013652, "acc_norm_stderr": 0.014413988396996074 }, "harness|hellaswag|10": { "acc": 0.5077673770165305, "acc_stderr": 0.004989179286677388, "acc_norm": 0.6875124477195778, "acc_norm_stderr": 0.00462560091677499 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2222222222222222, "acc_stderr": 0.0359144408419697, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.0359144408419697 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.26973684210526316, "acc_stderr": 0.03611780560284898, "acc_norm": 0.26973684210526316, "acc_norm_stderr": 0.03611780560284898 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2943396226415094, "acc_stderr": 0.028049186315695245, "acc_norm": 0.2943396226415094, "acc_norm_stderr": 0.028049186315695245 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "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": 0.2138728323699422, "acc_stderr": 0.03126511206173042, "acc_norm": 0.2138728323699422, "acc_norm_stderr": 0.03126511206173042 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149351, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149351 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.32340425531914896, "acc_stderr": 0.030579442773610334, "acc_norm": 0.32340425531914896, "acc_norm_stderr": 0.030579442773610334 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2807017543859649, "acc_stderr": 0.042270544512322, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.042270544512322 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2827586206896552, "acc_stderr": 0.03752833958003336, "acc_norm": 0.2827586206896552, "acc_norm_stderr": 0.03752833958003336 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.022569897074918417, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.022569897074918417 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1984126984126984, "acc_stderr": 0.03567016675276864, "acc_norm": 0.1984126984126984, "acc_norm_stderr": 0.03567016675276864 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.24838709677419354, "acc_stderr": 0.024580028921481, "acc_norm": 0.24838709677419354, "acc_norm_stderr": 0.024580028921481 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.26108374384236455, "acc_stderr": 0.030903796952114485, "acc_norm": 0.26108374384236455, "acc_norm_stderr": 0.030903796952114485 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.296969696969697, "acc_stderr": 0.03567969772268048, "acc_norm": 0.296969696969697, "acc_norm_stderr": 0.03567969772268048 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2878787878787879, "acc_stderr": 0.032258835123009935, "acc_norm": 0.2878787878787879, "acc_norm_stderr": 0.032258835123009935 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.2538860103626943, "acc_stderr": 0.03141024780565319, "acc_norm": 0.2538860103626943, "acc_norm_stderr": 0.03141024780565319 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.22564102564102564, "acc_stderr": 0.021193632525148526, "acc_norm": 0.22564102564102564, "acc_norm_stderr": 0.021