open-llm-leaderboard-old/details_ericzzz__falcon-rw-1b-chat

该数据集是在模型ericzzz/falcon-rw-1b-chat的评估运行期间自动创建的，用于在Open LLM Leaderboard上进行评估。数据集由63个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次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。此外，还有一个名为results的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 ericzzz/falcon-rw-1b-chat 在 Open LLM Leaderboard 上的自动创建的。数据集包含 63 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。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_ericzzz__falcon-rw-1b-chat", "harness_winogrande_5", split="train")

最新结果

以下是 2023-12-07T23:20:03.444693 运行的最新结果：

python { "all": { "acc": 0.25244947238387594, "acc_stderr": 0.030641727986962762, "acc_norm": 0.2531449615242294, "acc_norm_stderr": 0.03139093733494742, "mc1": 0.25458996328029376, "mc1_stderr": 0.01525011707915649, "mc2": 0.3961611921091927, "mc2_stderr": 0.014575233458509149 }, "harness|arc:challenge|25": { "acc": 0.33276450511945393, "acc_stderr": 0.013769863046192302, "acc_norm": 0.35580204778157, "acc_norm_stderr": 0.013990571137918758 }, "harness|hellaswag|10": { "acc": 0.4642501493726349, "acc_stderr": 0.0049770106704365566, "acc_norm": 0.6112328221469827, "acc_norm_stderr": 0.0048647401340436705 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.17037037037037037, "acc_stderr": 0.032477811859955935, "acc_norm": 0.17037037037037037, "acc_norm_stderr": 0.032477811859955935 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2236842105263158, "acc_stderr": 0.03391160934343601, "acc_norm": 0.2236842105263158, "acc_norm_stderr": 0.03391160934343601 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2339622641509434, "acc_stderr": 0.026055296901152915, "acc_norm": 0.2339622641509434, "acc_norm_stderr": 0.026055296901152915 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03476590104304134, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2023121387283237, "acc_stderr": 0.030631145539198823, "acc_norm": 0.2023121387283237, "acc_norm_stderr": 0.030631145539198823 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.02880998985410298, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.02880998985410298 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2719298245614035, "acc_stderr": 0.04185774424022056, "acc_norm": 0.2719298245614035, "acc_norm_stderr": 0.04185774424022056 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.18620689655172415, "acc_stderr": 0.03243946159004617, "acc_norm": 0.18620689655172415, "acc_norm_stderr": 0.03243946159004617 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.21957671957671956, "acc_stderr": 0.021320018599770355, "acc_norm": 0.21957671957671956, "acc_norm_stderr": 0.021320018599770355 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2619047619047619, "acc_stderr": 0.03932537680392871, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.03932537680392871 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.1870967741935484, "acc_stderr": 0.02218571009225226, "acc_norm": 0.1870967741935484, "acc_norm_stderr": 0.02218571009225226 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.19704433497536947, "acc_stderr": 0.02798672466673622, "acc_norm": 0.19704433497536947, "acc_norm_stderr": 0.02798672466673622 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.24, "acc_stderr": 0.04292346959909284, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909284 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2727272727272727, "acc_stderr": 0.03477691162163659, "acc_norm": 0.2727272727272727, "acc_norm_stderr": 0.03477691162163659 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.17676767676767677, "acc_stderr": 0.027178752639044915, "acc_norm": 0.17676767676767677, "acc_norm_stderr": 0.027178752639044915 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.20207253886010362, "acc_stderr": 0.02897908979429673, "acc_norm": 0.20207253886010362, "acc_norm_stderr": 0.02897908979429673 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2153846153846154, "acc_stderr": 0.020843034557462878, "acc_norm": 0.2153846153846154, "acc_norm_stderr": 0.020843034557462878 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22962962962962963, "acc_stderr": 0.02564410863926763, "acc_norm": 0.22962962962962963, "acc_norm_stderr": 0.02564410863926763 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc":