open-llm-leaderboard/details_ajibawa-2023__Uncensored-Jordan-7B

数据集是在模型ajibawa-2023/Uncensored-Jordan-7B的评估运行期间自动创建的，用于在Open LLM Leaderboard上进行评估。数据集由64个配置组成，每个配置对应一个评估任务。数据集从1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。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

数据集创建

• 创建背景：该数据集是在评估模型 ajibawa-2023/Uncensored-Jordan-7B 在 Open LLM Leaderboard 上的自动创建的。
• 数据集组成：包含 64 个配置，每个配置对应一个评估任务。
• 创建次数：数据集来自 1 次运行，每个运行在每个配置中作为一个特定的分片存在，分片名称使用运行的时间戳。
• 最新结果："train" 分片始终指向最新结果。
• 结果汇总：一个额外的配置 "results" 存储所有运行的汇总结果，用于计算和显示在 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_ajibawa-2023__Uncensored-Jordan-7B_public", "harness_winogrande_5", split="train")

最新结果

• 最新结果来源：最新结果来自 run 2023-11-18T19:37:27.743703
• 结果示例： python { "all": { "acc": 0.4574910452896481, "acc_stderr": 0.03440657715128802, "acc_norm": 0.4632598229794625, "acc_norm_stderr": 0.03522730896735207, "mc1": 0.32558139534883723, "mc1_stderr": 0.01640398946990783, "mc2": 0.47497547233950527, "mc2_stderr": 0.01568331719502122, "em": 0.2236786912751678, "em_stderr": 0.004267491957607617, "f1": 0.2846486996644306, "f1_stderr": 0.00427403120655588 }, "harness|arc:challenge|25": { "acc": 0.49573378839590443, "acc_stderr": 0.014610858923956955, "acc_norm": 0.5127986348122867, "acc_norm_stderr": 0.014606603181012538 }, "harness|hellaswag|10": { "acc": 0.5867357100179247, "acc_stderr": 0.0049141308554317776, "acc_norm": 0.7736506671977693, "acc_norm_stderr": 0.004176125850955359 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "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": 0.42105263157894735, "acc_stderr": 0.04017901275981749, "acc_norm": 0.42105263157894735, "acc_norm_stderr": 0.04017901275981749 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5056603773584906, "acc_stderr": 0.030770900763851302, "acc_norm": 0.5056603773584906, "acc_norm_stderr": 0.030770900763851302 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4791666666666667, "acc_stderr": 0.041775789507399935, "acc_norm": 0.4791666666666667, "acc_norm_stderr": 0.041775789507399935 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.42, "acc_stderr": 0.04960449637488584, "acc_norm": 0.42, "acc_norm_stderr": 0.04960449637488584 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3988439306358382, "acc_stderr": 0.037336266553835096, "acc_norm": 0.3988439306358382, "acc_norm_stderr": 0.037336266553835096 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.27450980392156865, "acc_stderr": 0.044405219061793275, "acc_norm": 0.27450980392156865, "acc_norm_stderr": 0.044405219061793275 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.6, "acc_stderr": 0.04923659639173309, "acc_norm": 0.6, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3829787234042553, "acc_stderr": 0.03177821250236922, "acc_norm": 0.3829787234042553, "acc_norm_stderr": 0.03177821250236922 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4413793103448276, "acc_stderr": 0.04137931034482757, "acc_norm": 0.4413793103448276, "acc_norm_stderr": 0.04137931034482757 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2830687830687831, "acc_stderr": 0.023201392938194974, "acc_norm": 0.2830687830687831, "acc_norm_stderr": 0.023201392938194974 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2698412698412698, "acc_stderr": 0.03970158273235173, "acc_norm": 0.2698412698412698, "acc_norm_stderr": 0.03970158273235173 }, "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": 0.5032258064516129, "acc_stderr": 0.028443414226438323, "acc_norm": 0.5032258064516129, "acc_norm_stderr": 0.028443414226438323 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.32019704433497537, "acc_stderr": 0.032826493853041504, "acc_norm": 0.32019704433497537, "acc_norm_stderr": 0.032826493853041504 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5757575757575758, "acc_stderr": 0.03859268142070265, "acc_norm": 0.5757575757575758, "acc_norm_stderr": 0.03859268142070265 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5656565656565656, "acc_stderr": 0.03531505879359183, "acc_norm": 0.5656565656565656, "acc_norm_stderr": 0.03531505879359183 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6528497409326425, "acc_stderr": 0.03435696168361355, "acc_norm": 0.6528497409326425, "acc_norm_stderr": 0.03435696168361355 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4358974358974359, "acc_stderr": 0.02514180151117749, "acc_norm": 0.4358974358974359, "acc_norm_stderr": 0.