open-llm-leaderboard-old/details_mosaicml__mpt-7b-8k-instruct

该数据集是在评估模型mosaicml/mpt-7b-8k-instruct在Open LLM Leaderboard上的表现时自动创建的。数据集由64个配置组成，每个配置对应一个评估任务。数据集由7次运行生成，每次运行的结果作为特定配置中的一个分割，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 mosaicml/mpt-7b-8k-instruct 的过程中自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 数据集包含 64 个配置，每个配置对应一个评估任务。
• 数据集由 7 次运行创建，每次运行在每个配置中都有特定的分割，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_mosaicml__mpt-7b-8k-instruct", "harness_winogrande_5", split="train")

最新结果

以下是 2023-12-04T10:18:36.700572 运行 的最新结果：

python { "all": { "acc": 0.4240823175850729, "acc_stderr": 0.0344348003498564, "acc_norm": 0.42713532243960445, "acc_norm_stderr": 0.035178352763465946, "mc1": 0.21664626682986537, "mc1_stderr": 0.014421468452506987, "mc2": 0.35056217018094765, "mc2_stderr": 0.01530570255533845 }, "harness|arc:challenge|25": { "acc": 0.4334470989761092, "acc_stderr": 0.0144813762245589, "acc_norm": 0.454778156996587, "acc_norm_stderr": 0.014551507060836353 }, "harness|hellaswag|10": { "acc": 0.5728938458474407, "acc_stderr": 0.00493647008523849, "acc_norm": 0.7440748854809799, "acc_norm_stderr": 0.004354881005789731 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4, "acc_stderr": 0.04232073695151589, "acc_norm": 0.4, "acc_norm_stderr": 0.04232073695151589 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.40789473684210525, "acc_stderr": 0.03999309712777472, "acc_norm": 0.40789473684210525, "acc_norm_stderr": 0.03999309712777472 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4339622641509434, "acc_stderr": 0.030503292013342596, "acc_norm": 0.4339622641509434, "acc_norm_stderr": 0.030503292013342596 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4375, "acc_stderr": 0.04148415739394154, "acc_norm": 0.4375, "acc_norm_stderr": 0.04148415739394154 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3352601156069364, "acc_stderr": 0.03599586301247078, "acc_norm": 0.3352601156069364, "acc_norm_stderr": 0.03599586301247078 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179964, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179964 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4085106382978723, "acc_stderr": 0.03213418026701576, "acc_norm": 0.4085106382978723, "acc_norm_stderr": 0.03213418026701576 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2719298245614035, "acc_stderr": 0.04185774424022057, "acc_norm": 0.2719298245614035, "acc_norm_stderr": 0.04185774424022057 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4068965517241379, "acc_stderr": 0.04093793981266237, "acc_norm": 0.4068965517241379, "acc_norm_stderr": 0.04093793981266237 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30423280423280424, "acc_stderr": 0.02369541500946309, "acc_norm": 0.30423280423280424, "acc_norm_stderr": 0.02369541500946309 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23015873015873015, "acc_stderr": 0.03764950879790605, "acc_norm": 0.23015873015873015, "acc_norm_stderr": 0.03764950879790605 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.28, "acc_stderr": 0.045126085985421276, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.45161290322580644, "acc_stderr": 0.02831050034856839, "acc_norm": 0.45161290322580644, "acc_norm_stderr": 0.02831050034856839 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.23645320197044334, "acc_stderr": 0.029896114291733552, "acc_norm": 0.23645320197044334, "acc_norm_stderr": 0.029896114291733552 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6060606060606061, "acc_stderr": 0.038154943086889305, "acc_norm": 0.6060606060606061, "acc_norm_stderr": 0.038154943086889305 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.4494949494949495, "acc_stderr": 0.0354413249194797, "acc_norm": 0.4494949494949495, "acc_norm_stderr": 0.0354413249194797 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5803108808290155, "acc_stderr": 0.035615873276858834, "acc_norm": 0.5803108808290155, "acc_norm_stderr": 0.035615873276858834 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.34102564102564104, "acc_stderr": 0.024035489676335068, "acc_norm": 0.34102564102564104, "acc_norm_stderr": 0.024035489676335068 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.29259259259259257, "acc_stderr": 0.02773896963217609, "acc_norm": 0.29259259259259257, "acc_norm_stderr": 0.02773896963217609 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0