open-llm-leaderboard-old/details_ResplendentAI__Obscura_32k_7B

该数据集是在评估模型ResplendentAI/Obscura_32k_7B时自动创建的，包含63个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果存储为特定的分割，分割名称使用运行的时间戳。最新的结果存储在“train”分割中。此外，还有一个“results”配置，存储所有运行的聚合结果，用于在Open LLM Leaderboard上计算和显示聚合指标。

原始信息汇总

数据集概述

该数据集是在对模型 ResplendentAI/Obscura_32k_7B 进行评估运行时自动创建的，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。
• 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_ResplendentAI__Obscura_32k_7B", "harness_winogrande_5", split="train")

最新结果

以下是 2024-03-25T10:06:48.746238 运行的最新结果：

python { "all": { "acc": 0.4919542952361311, "acc_stderr": 0.03443351127455121, "acc_norm": 0.49720218567568364, "acc_norm_stderr": 0.035190783488779874, "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961574, "mc2": 0.6303117698117346, "mc2_stderr": 0.016087485552401973 }, "harness|arc:challenge|25": { "acc": 0.5307167235494881, "acc_stderr": 0.014583792546304038, "acc_norm": 0.552901023890785, "acc_norm_stderr": 0.014529380160526848 }, "harness|hellaswag|10": { "acc": 0.6130252937661821, "acc_stderr": 0.004860623733461129, "acc_norm": 0.7800238996215894, "acc_norm_stderr": 0.004133835786651177 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45185185185185184, "acc_stderr": 0.04299268905480864, "acc_norm": 0.45185185185185184, "acc_norm_stderr": 0.04299268905480864 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.46710526315789475, "acc_stderr": 0.040601270352363966, "acc_norm": 0.46710526315789475, "acc_norm_stderr": 0.040601270352363966 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5358490566037736, "acc_stderr": 0.030693675018458006, "acc_norm": 0.5358490566037736, "acc_norm_stderr": 0.030693675018458006 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4652777777777778, "acc_stderr": 0.04171115858181618, "acc_norm": 0.4652777777777778, "acc_norm_stderr": 0.04171115858181618 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4913294797687861, "acc_stderr": 0.03811890988940413, "acc_norm": 0.4913294797687861, "acc_norm_stderr": 0.03811890988940413 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.0433643270799318, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.0433643270799318 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.37872340425531914, "acc_stderr": 0.03170995606040655, "acc_norm": 0.37872340425531914, "acc_norm_stderr": 0.03170995606040655 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3508771929824561, "acc_stderr": 0.044895393502707, "acc_norm": 0.3508771929824561, "acc_norm_stderr": 0.044895393502707 }, "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": 0.3835978835978836, "acc_stderr": 0.0250437573185202, "acc_norm": 0.3835978835978836, "acc_norm_stderr": 0.0250437573185202 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3412698412698413, "acc_stderr": 0.04240799327574924, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.04240799327574924 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5580645161290323, "acc_stderr": 0.02825155790684974, "acc_norm": 0.5580645161290323, "acc_norm_stderr": 0.02825155790684974 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3645320197044335, "acc_stderr": 0.0338640574606209, "acc_norm": 0.3645320197044335, "acc_norm_stderr": 0.0338640574606209 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6060606060606061, "acc_stderr": 0.0381549430868893, "acc_norm": 0.6060606060606061, "acc_norm_stderr": 0.0381549430868893 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.6313131313131313, "acc_stderr": 0.034373055019806184, "acc_norm": 0.6313131313131313, "acc_norm_stderr": 0.034373055019806184 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7357512953367875, "acc_stderr": 0.031821550509166456, "acc_norm": 0.7357512953367875, "acc_norm_stderr": 0.031821550509166456 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4307692307692308, "acc_stderr": 0.02510682066053975, "acc_norm": 0.4307692307692308, "acc_norm_stderr": 0.02510682066053975 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.026962424325073824, "acc_norm": 0.26666666666666666, "acc_norm_stderr":