open-llm-leaderboard-old/details_AI-Sweden-Models__gpt-sw3-126m

该数据集是在评估模型AI-Sweden-Models/gpt-sw3-126m时自动创建的，评估在Open LLM Leaderboard上进行。数据集由63个配置组成，每个配置对应一个评估任务。数据集由2次运行生成，每次运行可以在每个配置的特定分割中找到，分割以运行的时间戳命名。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

数据集简介

该数据集是在对模型 AI-Sweden-Models/gpt-sw3-126m 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 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 2 次运行创建，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，用于计算和显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-126m", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-04T14:50:03.394382 运行的最新结果： python { "all": { "acc": 0.24514074736530633, "acc_stderr": 0.030375707776311822, "acc_norm": 0.24572511855617835, "acc_norm_stderr": 0.03116726699554371, "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707693, "mc2": 0.4406746017669096, "mc2_stderr": 0.015032743284114658 }, "harness|arc:challenge|25": { "acc": 0.1885665529010239, "acc_stderr": 0.011430897647675803, "acc_norm": 0.22013651877133106, "acc_norm_stderr": 0.01210812488346098 }, "harness|hellaswag|10": { "acc": 0.2778331009759012, "acc_stderr": 0.004470152081675126, "acc_norm": 0.29555865365465045, "acc_norm_stderr": 0.004553609405747218 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2, "acc_stderr": 0.03455473702325438, "acc_norm": 0.2, "acc_norm_stderr": 0.03455473702325438 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.23018867924528302, "acc_stderr": 0.02590789712240817, "acc_norm": 0.23018867924528302, "acc_norm_stderr": 0.02590789712240817 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.20833333333333334, "acc_stderr": 0.033961162058453336, "acc_norm": 0.20833333333333334, "acc_norm_stderr": 0.033961162058453336 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036845, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2023121387283237, "acc_stderr": 0.030631145539198813, "acc_norm": 0.2023121387283237, "acc_norm_stderr": 0.030631145539198813 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.24509803921568626, "acc_stderr": 0.04280105837364395, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.04280105837364395 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.22, "acc_stderr": 0.041633319989322716, "acc_norm": 0.22, "acc_norm_stderr": 0.041633319989322716 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102973, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102973 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.0414243971948936, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.0414243971948936 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.23448275862068965, "acc_stderr": 0.035306258743465914, "acc_norm": 0.23448275862068965, "acc_norm_stderr": 0.035306258743465914 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.23544973544973544, "acc_stderr": 0.021851509822031715, "acc_norm": 0.23544973544973544, "acc_norm_stderr": 0.021851509822031715 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23809523809523808, "acc_stderr": 0.038095238095238106, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.038095238095238106 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.18, "acc_stderr": 0.038612291966536934, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536934 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2806451612903226, "acc_stderr": 0.02556060472102289, "acc_norm": 0.2806451612903226, "acc_norm_stderr": 0.02556060472102289 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2660098522167488, "acc_stderr": 0.031089826002937523, "acc_norm": 0.2660098522167488, "acc_norm_stderr": 0.031089826002937523 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.19, "acc_stderr": 0.03942772444036623, "acc_norm": 0.19, "acc_norm_stderr": 0.03942772444036623 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24242424242424243, "acc_stderr": 0.033464098810559534, "acc_norm": 0.24242424242424243, "acc_norm_stderr": 0.033464098810559534 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.18686868686868688, "acc_stderr": 0.027772533334218977, "acc_norm": 0.18686868686868688, "acc_norm_stderr": 0.027772533334218977 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.24352331606217617, "acc_stderr": 0.030975436386845443, "acc_norm": 0.24352331606217617, "acc_norm_stderr": 0.030975436386845443 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.258974358974359, "acc_stderr": 0.02221110681006166, "acc_norm": 0.258974358974359, "acc_norm_stderr": 0.02221110681006166 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24074074074074073, "acc_stderr": 0.026067159222275777, "acc_norm": 0.24074074074074073, "acc_norm_stderr": 0.026067159222275