open-llm-leaderboard-old/details_RobbeD__Orca-Platypus-3B

该数据集是在Open LLM Leaderboard上对模型RobbeD/Orca-Platypus-3B进行评估时自动创建的。数据集由61个配置组成，每个配置对应一个评估任务。数据集从1次运行中创建，每次运行都可以在特定配置中找到，分割以运行的时间戳命名。train分割始终指向最新结果。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

该数据集是在对模型 RobbeD/Orca-Platypus-3B 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 61 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拆分，拆分名称使用运行的时间戳。
• "train" 拆分始终指向最新的结果。
• 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_RobbeD__Orca-Platypus-3B", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-08-29T10:07:29.426848 运行的最新结果：

python { "all": { "acc": 0.27366722319077513, "acc_stderr": 0.03210093803398038, "acc_norm": 0.2768555704328155, "acc_norm_stderr": 0.0320995646677269, "mc1": 0.27539779681762544, "mc1_stderr": 0.01563813566777552, "mc2": 0.41928517905056045, "mc2_stderr": 0.0152672030417133 }, "harness|arc:challenge|25": { "acc": 0.3993174061433447, "acc_stderr": 0.014312094557946707, "acc_norm": 0.4308873720136519, "acc_norm_stderr": 0.014471133392642476 }, "harness|hellaswag|10": { "acc": 0.4967138020314678, "acc_stderr": 0.004989673640014264, "acc_norm": 0.6532563234415455, "acc_norm_stderr": 0.004749606196363324 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.37, "acc_stderr": 0.048523658709391, "acc_norm": 0.37, "acc_norm_stderr": 0.048523658709391 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.34074074074074073, "acc_stderr": 0.040943762699967926, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.040943762699967926 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.28289473684210525, "acc_stderr": 0.03665349695640767, "acc_norm": 0.28289473684210525, "acc_norm_stderr": 0.03665349695640767 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2792452830188679, "acc_stderr": 0.027611163402399715, "acc_norm": 0.2792452830188679, "acc_norm_stderr": 0.027611163402399715 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3055555555555556, "acc_stderr": 0.03852084696008534, "acc_norm": 0.3055555555555556, "acc_norm_stderr": 0.03852084696008534 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.15, "acc_stderr": 0.035887028128263714, "acc_norm": 0.15, "acc_norm_stderr": 0.035887028128263714 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23699421965317918, "acc_stderr": 0.03242414757483098, "acc_norm": 0.23699421965317918, "acc_norm_stderr": 0.03242414757483098 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.03950581861179963, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.03950581861179963 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.25957446808510637, "acc_stderr": 0.028659179374292323, "acc_norm": 0.25957446808510637, "acc_norm_stderr": 0.028659179374292323 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21929824561403508, "acc_stderr": 0.03892431106518754, "acc_norm": 0.21929824561403508, "acc_norm_stderr": 0.03892431106518754 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2689655172413793, "acc_stderr": 0.036951833116502325, "acc_norm": 0.2689655172413793, "acc_norm_stderr": 0.036951833116502325 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2566137566137566, "acc_stderr": 0.022494510767503154, "acc_norm": 0.2566137566137566, "acc_norm_stderr": 0.022494510767503154 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.19047619047619047, "acc_stderr": 0.03512207412302052, "acc_norm": 0.19047619047619047, "acc_norm_stderr": 0.03512207412302052 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.22258064516129034, "acc_stderr": 0.023664216671642535, "acc_norm": 0.22258064516129034, "acc_norm_stderr": 0.023664216671642535 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2315270935960591, "acc_stderr": 0.029678333141444437, "acc_norm": 0.2315270935960591, "acc_norm_stderr": 0.029678333141444437 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.30303030303030304, "acc_stderr": 0.035886248000917075, "acc_norm": 0.30303030303030304, "acc_norm_stderr": 0.035886248000917075 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2727272727272727, "acc_stderr": 0.03173071239071724, "acc_norm": 0.2727272727272727, "acc_norm_stderr": 0.03173071239071724 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.25906735751295334, "acc_stderr": 0.031618779179354094, "acc_norm": 0.25906735751295334, "acc_norm_stderr": 0.031618779179354094 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.23846153846153847, "acc_stderr": 0.021606294494647727, "acc_norm": 0.23846153846153847, "acc_norm_stderr": 0.021606294494647727 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.0267192407837