open-llm-leaderboard-old/details_chavinlo__alpaca-native

该数据集是在评估模型chavinlo/alpaca-native时自动创建的，主要用于Open LLM Leaderboard的评估任务。数据集由64个配置组成，每个配置对应一个评估任务。数据集由2次运行生成，每次运行的结果作为一个特定的分割，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，还有一个名为results的配置，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 chavinlo/alpaca-native 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 64 个配置，每个配置对应一个评估任务。
• 数据集从 2 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。
• 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_chavinlo__alpaca-native", "harness_truthfulqa_mc_0", split="train")

最新结果

这些是最新的结果，来自 2023-09-21T20:23:20.255556 的运行： python { "all": { "acc": 0.41927597389078103, "acc_stderr": 0.035302205782678654, "acc_norm": 0.42235476219088836, "acc_norm_stderr": 0.035290265393035695, "mc1": 0.2484700122399021, "mc1_stderr": 0.015127427096520674, "mc2": 0.3759916250814691, "mc2_stderr": 0.015396201572279763 }, "harness|arc:challenge|25": { "acc": 0.5127986348122867, "acc_stderr": 0.014606603181012538, "acc_norm": 0.5204778156996587, "acc_norm_stderr": 0.01459913135303501 }, "harness|hellaswag|10": { "acc": 0.5959968133837881, "acc_stderr": 0.004896952378506926, "acc_norm": 0.7699661422027485, "acc_norm_stderr": 0.004199941217549452 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542129, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542129 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45925925925925926, "acc_stderr": 0.04304979692464242, "acc_norm": 0.45925925925925926, "acc_norm_stderr": 0.04304979692464242 }, "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": 0.46, "acc_stderr": 0.05009082659620333, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620333 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.44150943396226416, "acc_stderr": 0.030561590426731837, "acc_norm": 0.44150943396226416, "acc_norm_stderr": 0.030561590426731837 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3819444444444444, "acc_stderr": 0.040629907841466674, "acc_norm": 0.3819444444444444, "acc_norm_stderr": 0.040629907841466674 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.41, "acc_stderr": 0.04943110704237102, "acc_norm": 0.41, "acc_norm_stderr": 0.04943110704237102 }, "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": 0.3815028901734104, "acc_stderr": 0.03703851193099521, "acc_norm": 0.3815028901734104, "acc_norm_stderr": 0.03703851193099521 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237656, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237656 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.37446808510638296, "acc_stderr": 0.03163910665367291, "acc_norm": 0.37446808510638296, "acc_norm_stderr": 0.03163910665367291 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.040969851398436716, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.040969851398436716 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.36551724137931035, "acc_stderr": 0.040131241954243856, "acc_norm": 0.36551724137931035, "acc_norm_stderr": 0.040131241954243856 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.28835978835978837, "acc_stderr": 0.023330654054535903, "acc_norm": 0.28835978835978837, "acc_norm_stderr": 0.023330654054535903 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.24603174603174602, "acc_stderr": 0.03852273364924314, "acc_norm": 0.24603174603174602, "acc_norm_stderr": 0.03852273364924314 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4290322580645161, "acc_stderr": 0.02815603653823321, "acc_norm": 0.4290322580645161, "acc_norm_stderr": 0.02815603653823321 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3103448275862069, "acc_stderr": 0.03255086769970103, "acc_norm": 0.3103448275862069, "acc_norm_stderr": 0.03255086769970103 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5333333333333333, "acc_stderr": 0.038956580652718446, "acc_norm": 0.5333333333333333, "acc_norm_stderr": 0.038956580652718446 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.4797979797979798, "acc_stderr": 0.035594435655639196, "acc_norm": 0.4797979797979798, "acc_norm_stderr": 0.035594435655639196 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6062176165803109, "acc_stderr": 0.035260770955482405, "acc_norm": 0.6062176165803109, "acc_norm_stderr": 0.035260770955482405 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3871794871794872, "acc_stderr": 0.024697216930878948, "acc_norm": 0.3871794871794872, "acc_norm_stderr": 0.024697216930878948 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26296296296296295, "acc_stderr": 0.02684205787383371, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.02684205787383371 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.35294117647058826, "acc_stderr": 0.031041941304