open-llm-leaderboard-old/details_adamo1139__Yi-34B-AEZAKMI-v1

该数据集是在Open LLM Leaderboard上对模型adamo1139/Yi-34B-AEZAKMI-v1进行评估时自动创建的。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行创建，每次运行可以在每个配置的特定分割中找到，分割名称使用运行的时间戳命名。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，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

数据集创建

• 数据集名称：Evaluation run of adamo1139/Yi-34B-AEZAKMI-v1
• 创建背景：该数据集是在模型 adamo1139/Yi-34B-AEZAKMI-v1 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

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
• 数据集来源：1次运行结果
• 分割命名：每个配置中的分割以运行的时间戳命名，"train" 分割指向最新的结果

额外配置

• 配置名称："results"
• 用途：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_adamo1139__Yi-34B-AEZAKMI-v1", "harness_winogrande_5", split="train")

最新结果

• 最新结果来自 2023-12-04T22:17:18.926595
• 结果示例： python { "all": { "acc": 0.733063777345197, "acc_stderr": 0.02911576095445218, "acc_norm": 0.7392718490739228, "acc_norm_stderr": 0.029657906091365063, "mc1": 0.401468788249694, "mc1_stderr": 0.01716027390169365, "mc2": 0.557340774150812, "mc2_stderr": 0.015053849366752348 }, "harness|arc:challenge|25": { "acc": 0.606655290102389, "acc_stderr": 0.014275101465693024, "acc_norm": 0.643344709897611, "acc_norm_stderr": 0.01399805690262019 }, "harness|hellaswag|10": { "acc": 0.6422027484564827, "acc_stderr": 0.004783723798286501, "acc_norm": 0.8430591515634336, "acc_norm_stderr": 0.0036300159898964017 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6888888888888889, "acc_stderr": 0.03999262876617721, "acc_norm": 0.6888888888888889, "acc_norm_stderr": 0.03999262876617721 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.868421052631579, "acc_stderr": 0.027508689533549912, "acc_norm": 0.868421052631579, "acc_norm_stderr": 0.027508689533549912 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.74, "acc_stderr": 0.04408440022768079, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7735849056603774, "acc_stderr": 0.025757559893106737, "acc_norm": 0.7735849056603774, "acc_norm_stderr": 0.025757559893106737 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8402777777777778, "acc_stderr": 0.030635578972093278, "acc_norm": 0.8402777777777778, "acc_norm_stderr": 0.030635578972093278 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.49, "acc_stderr": 0.05024183937956911, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.62, "acc_stderr": 0.04878317312145632, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7052023121387283, "acc_stderr": 0.03476599607516478, "acc_norm": 0.7052023121387283, "acc_norm_stderr": 0.03476599607516478 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.048971049527263666, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.048971049527263666 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7404255319148936, "acc_stderr": 0.028659179374292326, "acc_norm": 0.7404255319148936, "acc_norm_stderr": 0.028659179374292326 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5087719298245614, "acc_stderr": 0.04702880432049615, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.7517241379310344, "acc_stderr": 0.03600105692727771, "acc_norm": 0.7517241379310344, "acc_norm_stderr": 0.03600105692727771 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.6507936507936508, "acc_stderr": 0.024552292209342658, "acc_norm": 0.6507936507936508, "acc_norm_stderr": 0.024552292209342658 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5396825396825397, "acc_stderr": 0.04458029125470973, "acc_norm": 0.5396825396825397, "acc_norm_stderr": 0.04458029125470973 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.896774193548387, "acc_stderr": 0.01730838128103453, "acc_norm": 0.896774193548387, "acc_norm_stderr": 0.01730838128103453 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5960591133004927, "acc_stderr": 0.03452453903822032, "acc_norm": 0.5960591133004927, "acc_norm_stderr": 0.03452453903822032 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8484848484848485, "acc_stderr": 0.027998073798781657, "acc_norm": 0.8484848484848485, "acc_norm_stderr": 0.027998073798781657 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8939393939393939, "acc_stderr": 0.021938047738853113, "acc_norm": 0.8939393939393939, "acc_norm_stderr": 0.021938047738853113 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9637305699481865, "acc_stderr": 0.013492659751295136, "acc_norm": 0.9637305699481865, "acc_norm_stderr": 0.013492659751295136 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7769230769230769, "acc_stderr": 0.02110773012724401, "acc_norm": 0.7769230769230769, "acc_norm_stderr": 0.02110773012724401 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.40370370370370373