open-llm-leaderboard-old/details_google__gemma-7b-it

该数据集是在Open LLM Leaderboard上对模型google/gemma-7b-it进行评估时自动创建的。它由63个配置组成，每个配置对应一个被评估的任务。数据集是从1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分割始终指向最新的结果。一个名为results的额外配置存储了所有运行的聚合结果，这些结果用于计算和显示Open LLM Leaderboard上的聚合指标。可以使用datasets库中的load_dataset函数加载该数据集。

原始信息汇总

数据集概述

数据集简介

该数据集是在对模型 google/gemma-7b-it 进行评估运行期间自动创建的，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一个特定的分割，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_google__gemma-7b-it", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-22T15:34:10.620055 运行的最新结果：

python { "all": { "acc": 0.5329105600099912, "acc_stderr": 0.034309146343894516, "acc_norm": 0.5379456027773047, "acc_norm_stderr": 0.03502966279529527, "mc1": 0.3072215422276622, "mc1_stderr": 0.016150201321323013, "mc2": 0.47291150235086526, "mc2_stderr": 0.016382918213073454 }, "harness|arc:challenge|25": { "acc": 0.4778156996587031, "acc_stderr": 0.014597001927076136, "acc_norm": 0.514505119453925, "acc_norm_stderr": 0.01460524108137006 }, "harness|hellaswag|10": { "acc": 0.5535749850627365, "acc_stderr": 0.0049610545895734685, "acc_norm": 0.719577773351922, "acc_norm_stderr": 0.0044828747322373476 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4888888888888889, "acc_stderr": 0.04318275491977976, "acc_norm": 0.4888888888888889, "acc_norm_stderr": 0.04318275491977976 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5460526315789473, "acc_stderr": 0.04051646342874142, "acc_norm": 0.5460526315789473, "acc_norm_stderr": 0.04051646342874142 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5547169811320755, "acc_stderr": 0.030588052974270655, "acc_norm": 0.5547169811320755, "acc_norm_stderr": 0.030588052974270655 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5625, "acc_stderr": 0.04148415739394154, "acc_norm": 0.5625, "acc_norm_stderr": 0.04148415739394154 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.43352601156069365, "acc_stderr": 0.03778621079092055, "acc_norm": 0.43352601156069365, "acc_norm_stderr": 0.03778621079092055 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.045766654032077636, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.045766654032077636 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4765957446808511, "acc_stderr": 0.03265019475033582, "acc_norm": 0.4765957446808511, "acc_norm_stderr": 0.03265019475033582 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.37719298245614036, "acc_stderr": 0.04559522141958217, "acc_norm": 0.37719298245614036, "acc_norm_stderr": 0.04559522141958217 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5172413793103449, "acc_stderr": 0.04164188720169375, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.04164188720169375 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.35978835978835977, "acc_stderr": 0.024718075944129284, "acc_norm": 0.35978835978835977, "acc_norm_stderr": 0.024718075944129284 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3253968253968254, "acc_stderr": 0.04190596438871136, "acc_norm": 0.3253968253968254, "acc_norm_stderr": 0.04190596438871136 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6225806451612903, "acc_stderr": 0.02757596072327823, "acc_norm": 0.6225806451612903, "acc_norm_stderr": 0.02757596072327823 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4039408866995074, "acc_stderr": 0.03452453903822039, "acc_norm": 0.4039408866995074, "acc_norm_stderr": 0.03452453903822039 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6363636363636364, "acc_stderr": 0.03756335775187899, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.03756335775187899 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.696969696969697, "acc_stderr": 0.032742879140268674, "acc_norm": 0.696969696969697, "acc_norm_stderr": 0.032742879140268674 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7098445595854922, "acc_stderr": 0.032752644677915166, "acc_norm": 0.7098445595854922, "acc_norm_stderr": 0.032752644677915166 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.49230769230769234, "acc_stderr": 0.025348006031534778, "acc_norm": 0.49230769230769234, "acc_norm_stderr": 0.025348006031534778 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.29259259259259257, "acc_stderr": 0.027738969632176095, "acc_norm": 0.29259259259259257, "acc_norm_stderr": 0.027738969632176095 }, "harness|hendrycksTest-high_school_microeconomics|5": {