open-llm-leaderboard/details_PygmalionAI__pygmalion-6b

该数据集是在Open LLM Leaderboard上对PygmalionAI/pygmalion-6b模型进行评估时自动创建的。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3次运行生成，每次运行在每个配置中表示为特定的分割，train分割始终指向最新结果。此外，名为results的配置存储了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。README文件还包含了如何加载数据集的说明，并提供了特定运行的最新结果。

原始信息汇总

数据集概述

数据集摘要

数据集是在模型 PygmalionAI/pygmalion-6b 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

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 3 次运行中创建，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。
• 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_PygmalionAI__pygmalion-6b", "harness_truthfulqa_mc_0", split="train")

最新结果

这些是最新结果（来自 2023-10-08T20:04:23.834964 运行）的示例： python { "all": { "acc": 0.26347154250909116, "acc_stderr": 0.03165492423612406, "acc_norm": 0.26689039326246145, "acc_norm_stderr": 0.03165325674877226, "mc1": 0.20195838433292534, "mc1_stderr": 0.014053957441512359, "mc2": 0.3253448533993895, "mc2_stderr": 0.013862486209403098 }, "harness|arc:challenge|25": { "acc": 0.3728668941979522, "acc_stderr": 0.014131176760131165, "acc_norm": 0.4052901023890785, "acc_norm_stderr": 0.014346869060229323 }, "harness|hellaswag|10": { "acc": 0.5053774148575981, "acc_stderr": 0.004989492828168535, "acc_norm": 0.6746664011153157, "acc_norm_stderr": 0.004675418774314239 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.25925925925925924, "acc_stderr": 0.03785714465066653, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.03785714465066653 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3092105263157895, "acc_stderr": 0.037610708698674805, "acc_norm": 0.3092105263157895, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.23773584905660378, "acc_stderr": 0.0261998088075619, "acc_norm": 0.23773584905660378, "acc_norm_stderr": 0.0261998088075619 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.20833333333333334, "acc_stderr": 0.03396116205845333, "acc_norm": 0.20833333333333334, "acc_norm_stderr": 0.03396116205845333 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.13, "acc_stderr": 0.03379976689896308, "acc_norm": 0.13, "acc_norm_stderr": 0.03379976689896308 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2543352601156069, "acc_stderr": 0.0332055644308557, "acc_norm": 0.2543352601156069, "acc_norm_stderr": 0.0332055644308557 }, "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": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3404255319148936, "acc_stderr": 0.030976692998534436, "acc_norm": 0.3404255319148936, "acc_norm_stderr": 0.030976692998534436 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.24561403508771928, "acc_stderr": 0.040493392977481425, "acc_norm": 0.24561403508771928, "acc_norm_stderr": 0.040493392977481425 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2689655172413793, "acc_stderr": 0.03695183311650232, "acc_norm": 0.2689655172413793, "acc_norm_stderr": 0.03695183311650232 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.24603174603174602, "acc_stderr": 0.022182037202948368, "acc_norm": 0.24603174603174602, "acc_norm_stderr": 0.022182037202948368 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23809523809523808, "acc_stderr": 0.03809523809523811, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.03809523809523811 }, "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": 0.23548387096774193, "acc_stderr": 0.02413763242933771, "acc_norm": 0.23548387096774193, "acc_norm_stderr": 0.02413763242933771 }, "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": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2545454545454545, "acc_stderr": 0.03401506715249039, "acc_norm": 0.2545454545454545, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.20707070707070707, "acc_stderr": 0.028869778460267042, "acc_norm": 0.20707070707070707, "acc_norm_stderr": 0.028869778460267042 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22797927461139897, "acc_stderr": 0.03027690994517826, "acc_norm": 0.22797927461139897, "acc_norm_stderr": 0.03027690994517826 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2512820512820513, "acc_stderr": 0.021992016662370526, "acc_norm": 0.2512820512820513, "acc_norm_stderr": 0.021992016662370526 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.02696242432507383, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.02696242432507383 }, "harness|hendrycksTest-high_school_microeconomics|5": { "