open-llm-leaderboard-old/details_DrNicefellow__ChatAllInOne-Yi-34B-200K-V1
收藏数据集概述
数据集简介
该数据集是在模型DrNicefellow/ChatAllInOne-Yi-34B-200K-V1的评估运行期间自动创建的，用于Open LLM Leaderboard。
数据集结构
- 配置数量：63个配置，每个配置对应一个评估任务。
- 运行次数：数据集从2次运行中创建，每个运行在每个配置中作为一个特定的分割，分割名称使用运行的时间戳。
- 训练分割："train"分割始终指向最新的结果。
- 结果配置：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_DrNicefellow__ChatAllInOne-Yi-34B-200K-V1", "harness_winogrande_5", split="train")
最新结果
以下是2024-02-02T07:46:14.329996运行的最新结果：
python { "all": { "acc": 0.7350413866691472, "acc_stderr": 0.029053323018774252, "acc_norm": 0.7399853641294432, "acc_norm_stderr": 0.029602382625034382, "mc1": 0.4112607099143207, "mc1_stderr": 0.017225627083660867, "mc2": 0.5682495749148809, "mc2_stderr": 0.014775176850726521 }, "harness|arc:challenge|25": { "acc": 0.621160409556314, "acc_stderr": 0.014175915490000326, "acc_norm": 0.659556313993174, "acc_norm_stderr": 0.01384746051889298 }, "harness|hellaswag|10": { "acc": 0.6427006572395937, "acc_stderr": 0.004782246931195002, "acc_norm": 0.8458474407488548, "acc_norm_stderr": 0.0036035695286784127 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.7185185185185186, "acc_stderr": 0.038850042458002526, "acc_norm": 0.7185185185185186, "acc_norm_stderr": 0.038850042458002526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.875, "acc_stderr": 0.026913523521537846, "acc_norm": 0.875, "acc_norm_stderr": 0.026913523521537846 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.76, "acc_stderr": 0.04292346959909283, "acc_norm": 0.76, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8113207547169812, "acc_stderr": 0.024079995130062253, "acc_norm": 0.8113207547169812, "acc_norm_stderr": 0.024079995130062253 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8819444444444444, "acc_stderr": 0.026983346503309375, "acc_norm": 0.8819444444444444, "acc_norm_stderr": 0.026983346503309375 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.63, "acc_stderr": 0.048523658709391, "acc_norm": 0.63, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.43, "acc_stderr": 0.0497569851956243, "acc_norm": 0.43, "acc_norm_stderr": 0.0497569851956243 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7225433526011561, "acc_stderr": 0.03414014007044036, "acc_norm": 0.7225433526011561, "acc_norm_stderr": 0.03414014007044036 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396264, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396264 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.81, "acc_stderr": 0.03942772444036624, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036624 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7446808510638298, "acc_stderr": 0.028504856470514255, "acc_norm": 0.7446808510638298, "acc_norm_stderr": 0.028504856470514255 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5526315789473685, "acc_stderr": 0.04677473004491199, "acc_norm": 0.5526315789473685, "acc_norm_stderr": 0.04677473004491199 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7724137931034483, "acc_stderr": 0.03493950380131184, "acc_norm": 0.7724137931034483, "acc_norm_stderr": 0.03493950380131184 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.582010582010582, "acc_stderr": 0.025402555503260912, "acc_norm": 0.582010582010582, "acc_norm_stderr": 0.025402555503260912 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5158730158730159, "acc_stderr": 0.044698818540726076, "acc_norm": 0.5158730158730159, "acc_norm_stderr": 0.044698818540726076 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8709677419354839, "acc_stderr": 0.01907088925479276, "acc_norm": 0.8709677419354839, "acc_norm_stderr": 0.01907088925479276 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6059113300492611, "acc_stderr": 0.034381579670365446, "acc_norm": 0.6059113300492611, "acc_norm_stderr": 0.034381579670365446 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8484848484848485, "acc_stderr": 0.027998073798781668, "acc_norm": 0.8484848484848485, "acc_norm_stderr": 0.027998073798781668 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9191919191919192, "acc_stderr": 0.019417681889724536, "acc_norm": 0.9191919191919192, "acc_norm_stderr": 0.019417681889724536 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9792746113989638, "acc_stderr": 0.010281417011909029, "acc_norm": 0.9792746113989638, "acc_norm_stderr": 0.010281417011909029 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7846153846153846, "acc_stderr": 0.020843034557462878, "acc_norm": 0.7846153846153846, "acc_norm_stderr": 0.020843034557462878 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.37407407407407406, "acc_stderr": 0.029502861128955286, "acc_norm": 0.374
