open-llm-leaderboard/details_mncai__Llama2-7B-guanaco-dolphin-500

该数据集是在评估模型mncai/Llama2-7B-guanaco-dolphin-500时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集包含64个配置，每个配置对应一个评估任务。数据集由3次运行生成，每次运行的结果作为特定配置中的一个分割，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，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

数据集摘要

该数据集是在评估模型 mncai/Llama2-7B-guanaco-dolphin-500 在 Open LLM Leaderboard 上的自动创建的。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 3 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" 分割始终指向最新结果。

数据集结构

数据集包含多个配置，每个配置对应不同的评估任务。每个配置包含多个分割，分割名称使用运行的时间戳。"train" 分割指向最新结果。

加载数据示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_mncai__Llama2-7B-guanaco-dolphin-500", "harness_winogrande_5", split="train")

最新结果

以下是 最新结果 的摘要： python { "all": { "acc": 0.48789166502400916, "acc_stderr": 0.03456685332517279, "acc_norm": 0.49373129590075493, "acc_norm_stderr": 0.03535583848667483, "mc1": 0.31701346389228885, "mc1_stderr": 0.016289203374403385, "mc2": 0.4693286672182885, "mc2_stderr": 0.01543993120710859 }, "harness|arc:challenge|25": { "acc": 0.5247440273037542, "acc_stderr": 0.014593487694937742, "acc_norm": 0.5674061433447098, "acc_norm_stderr": 0.014478005694182526 }, "harness|hellaswag|10": { "acc": 0.6215893248356901, "acc_stderr": 0.00483999574560232, "acc_norm": 0.8161720772754432, "acc_norm_stderr": 0.003865521762363158 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4888888888888889, "acc_stderr": 0.04318275491977976, "acc_norm": 0.4888888888888889, "acc_norm_stderr": 0.04318275491977976 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4605263157894737, "acc_stderr": 0.04056242252249033, "acc_norm": 0.4605263157894737, "acc_norm_stderr": 0.04056242252249033 }, "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": 0.4716981132075472, "acc_stderr": 0.0307235352490061, "acc_norm": 0.4716981132075472, "acc_norm_stderr": 0.0307235352490061 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4861111111111111, "acc_stderr": 0.041795966175810016, "acc_norm": 0.4861111111111111, "acc_norm_stderr": 0.041795966175810016 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4508670520231214, "acc_stderr": 0.0379401267469703, "acc_norm": 0.4508670520231214, "acc_norm_stderr": 0.0379401267469703 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149352, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149352 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.43829787234042555, "acc_stderr": 0.03243618636108102, "acc_norm": 0.43829787234042555, "acc_norm_stderr": 0.03243618636108102 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159393, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159393 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.503448275862069, "acc_stderr": 0.04166567577101579, "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.04166567577101579 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30158730158730157, "acc_stderr": 0.0236369759961018, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.0236369759961018 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3412698412698413, "acc_stderr": 0.04240799327574925, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.04240799327574925 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5387096774193548, "acc_stderr": 0.02835863485983694, "acc_norm": 0.5387096774193548, "acc_norm_stderr": 0.02835863485983694 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3399014778325123, "acc_stderr": 0.0333276906841079, "acc_norm": 0.3399014778325123, "acc_norm_stderr": 0.0333276906841079 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6060606060606061, "acc_stderr": 0.038154943086889305, "acc_norm": 0.6060606060606061, "acc_norm_stderr": 0.038154943086889305 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5909090909090909, "acc_stderr": 0.03502975799413007, "acc_norm": 0.5909090909090909, "acc_norm_stderr": 0.03502975799413007 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6683937823834197, "acc_stderr": 0.03397636541089118, "acc_norm": 0.6683937823834197, "acc_norm_stderr": 0.03397636541089118 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4512820512820513, "acc_stderr": 0.025230381238934837, "acc_norm": 0.4512820512820513, "acc_norm_stderr": 0.025230381238934837 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3074074074074074, "acc_stderr": 0.02813325257881563, "acc_norm": 0.3074074074074074, "acc_norm_stderr": 0.02813325257881563 }, "harness|hendrycksTest-high_