open-llm-leaderboard-old/details_dominguesm__canarim-7b

该数据集是在模型dominguesm/canarim-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63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

该数据集是在对模型 dominguesm/canarim-7b 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，每次运行的详细信息可以在每个配置中找到，以运行的时间戳命名的特定分片形式存储。
• "train" 分片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_dominguesm__canarim-7b", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-25T04:39:02.146933 运行的最新结果：

python { "all": { "acc": 0.4128450113919017, "acc_stderr": 0.0341595304064157, "acc_norm": 0.41725828050909847, "acc_norm_stderr": 0.03494988220974851, "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707687, "mc2": 0.4002971290542134, "mc2_stderr": 0.013722080397364233 }, "harness|arc:challenge|25": { "acc": 0.4709897610921502, "acc_stderr": 0.01458677635529432, "acc_norm": 0.5196245733788396, "acc_norm_stderr": 0.01460013207594709 }, "harness|hellaswag|10": { "acc": 0.5755825532762398, "acc_stderr": 0.0049324414796655305, "acc_norm": 0.7752439753037244, "acc_norm_stderr": 0.004165684625540424 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.42962962962962964, "acc_stderr": 0.04276349494376599, "acc_norm": 0.42962962962962964, "acc_norm_stderr": 0.04276349494376599 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3618421052631579, "acc_stderr": 0.03910525752849724, "acc_norm": 0.3618421052631579, "acc_norm_stderr": 0.03910525752849724 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3283018867924528, "acc_stderr": 0.028901593612411784, "acc_norm": 0.3283018867924528, "acc_norm_stderr": 0.028901593612411784 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3958333333333333, "acc_stderr": 0.04089465449325582, "acc_norm": 0.3958333333333333, "acc_norm_stderr": 0.04089465449325582 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3236994219653179, "acc_stderr": 0.035676037996391706, "acc_norm": 0.3236994219653179, "acc_norm_stderr": 0.035676037996391706 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.17647058823529413, "acc_stderr": 0.03793281185307809, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.03793281185307809 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.39574468085106385, "acc_stderr": 0.03196758697835362, "acc_norm": 0.39574468085106385, "acc_norm_stderr": 0.03196758697835362 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03835153954399421, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03835153954399421 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.43448275862068964, "acc_stderr": 0.04130740879555497, "acc_norm": 0.43448275862068964, "acc_norm_stderr": 0.04130740879555497 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.24603174603174602, "acc_stderr": 0.02218203720294836, "acc_norm": 0.24603174603174602, "acc_norm_stderr": 0.02218203720294836 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3333333333333333, "acc_stderr": 0.042163702135578345, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.042163702135578345 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4, "acc_stderr": 0.027869320571664632, "acc_norm": 0.4, "acc_norm_stderr": 0.027869320571664632 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2561576354679803, "acc_stderr": 0.0307127300709826, "acc_norm": 0.2561576354679803, "acc_norm_stderr": 0.0307127300709826 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5151515151515151, "acc_stderr": 0.03902551007374448, "acc_norm": 0.5151515151515151, "acc_norm_stderr": 0.03902551007374448 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3939393939393939, "acc_stderr": 0.03481285338232963, "acc_norm": 0.3939393939393939, "acc_norm_stderr": 0.03481285338232963 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5699481865284974, "acc_stderr": 0.03572954333144808, "acc_norm": 0.5699481865284974, "acc_norm_stderr": 0.03572954333144808 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.35384615384615387, "acc_stderr": 0.024243783994062164, "acc_norm": 0.35384615384615387, "acc_norm_stderr": 0.024243783994062164 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26666666666666666, "acc_stderr": 0.02696242432507384, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.02696242432507384 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.3487394957983193,