open-llm-leaderboard-old/details_senseable__33x-coder

该数据集是在模型senseable/33x-coder的评估运行期间自动创建的，用于Open LLM Leaderboard的评估。数据集由63个配置组成，每个配置对应一个评估任务。数据集包含1次运行的详细信息，每次运行都作为一个特定的分割存储在每个配置中，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，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

该数据集是在对模型 senseable/33x-coder 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 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_senseable__33x-coder", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-08T01:59:05.167741 运行的最新结果：

python { "all": { "acc": 0.4241034530150986, "acc_stderr": 0.03464544081224391, "acc_norm": 0.42437234460891116, "acc_norm_stderr": 0.03536246822607512, "mc1": 0.3047735618115055, "mc1_stderr": 0.016114124156882455, "mc2": 0.4560428089033374, "mc2_stderr": 0.015062569083383824 }, "harness|arc:challenge|25": { "acc": 0.4300341296928328, "acc_stderr": 0.01446763155913799, "acc_norm": 0.4590443686006826, "acc_norm_stderr": 0.014562291073601236 }, "harness|hellaswag|10": { "acc": 0.4695279824736108, "acc_stderr": 0.004980506329407585, "acc_norm": 0.6263692491535551, "acc_norm_stderr": 0.004827786289074837 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.041633319989322695, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322695 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.34074074074074073, "acc_stderr": 0.040943762699967946, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.040943762699967946 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.40789473684210525, "acc_stderr": 0.039993097127774734, "acc_norm": 0.40789473684210525, "acc_norm_stderr": 0.039993097127774734 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.44, "acc_stderr": 0.0498887651569859, "acc_norm": 0.44, "acc_norm_stderr": 0.0498887651569859 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4188679245283019, "acc_stderr": 0.03036505082911521, "acc_norm": 0.4188679245283019, "acc_norm_stderr": 0.03036505082911521 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3541666666666667, "acc_stderr": 0.039994111357535424, "acc_norm": 0.3541666666666667, "acc_norm_stderr": 0.039994111357535424 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.37572254335260113, "acc_stderr": 0.03692820767264867, "acc_norm": 0.37572254335260113, "acc_norm_stderr": 0.03692820767264867 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.41702127659574467, "acc_stderr": 0.032232762667117124, "acc_norm": 0.41702127659574467, "acc_norm_stderr": 0.032232762667117124 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.30701754385964913, "acc_stderr": 0.04339138322579861, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.04339138322579861 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4896551724137931, "acc_stderr": 0.04165774775728763, "acc_norm": 0.4896551724137931, "acc_norm_stderr": 0.04165774775728763 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.38095238095238093, "acc_stderr": 0.02501074911613759, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.02501074911613759 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.38095238095238093, "acc_stderr": 0.043435254289490965, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.043435254289490965 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.43548387096774194, "acc_stderr": 0.028206225591502744, "acc_norm": 0.43548387096774194, "acc_norm_stderr": 0.028206225591502744 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3054187192118227, "acc_stderr": 0.03240661565868407, "acc_norm": 0.3054187192118227, "acc_norm_stderr": 0.03240661565868407 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.4909090909090909, "acc_stderr": 0.0390369864774844, "acc_norm": 0.4909090909090909, "acc_norm_stderr": 0.0390369864774844 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.4292929292929293, "acc_stderr": 0.035265527246011986, "acc_norm": 0.4292929292929293, "acc_norm_stderr": 0.035265527246011986 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.39378238341968913, "acc_stderr": 0.035260770955482364, "acc_norm": 0.39378238341968913, "acc_norm_stderr": 0.035260770955482364 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3435897435897436, "acc_stderr": 0.024078696580635477, "acc_norm": 0.3435897435897436, "acc_norm_stderr": 0.024078696580635477 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.32592592592592595, "acc_stderr": 0.02857834836547307, "acc_norm": 0.32592592592592595,