open-llm-leaderboard-old/details_MysteriousAI__Mia-1B

该数据集是在评估模型MysteriousAI/Mia-1B时自动创建的，主要用于Open LLM Leaderboard的评估任务。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1次运行生成，每次运行的结果存储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，用于在Open LLM Leaderboard上计算和显示聚合指标。

原始信息汇总

数据集概述

数据集名称

• 名称: Evaluation run of MysteriousAI/Mia-1B

数据集来源

• 来源: 该数据集是在模型 MysteriousAI/Mia-1B 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

数据集结构

• 组成: 数据集由 63 个配置组成，每个配置对应一个评估任务。
• 创建方式: 数据集从 1 次运行中创建。每个运行可以在每个配置中作为一个特定的分割找到，分割名称使用运行的时间戳。"train" 分割始终指向最新的结果。
• 额外配置: 一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示在 Open LLM Leaderboard 上的聚合指标。

数据加载示例

• 加载示例: python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_MysteriousAI__Mia-1B", "harness_winogrande_5", split="train")

最新结果

• 最新结果: 这些是最新结果，来自 2024-04-06T03:28:57.602483 的运行。 python { "all": { "acc": 0.26082888529104364, "acc_stderr": 0.030898417623910303, "acc_norm": 0.2620438141028149, "acc_norm_stderr": 0.03165782600365227, "mc1": 0.22643818849449204, "mc1_stderr": 0.014651337324602574, "mc2": 0.3691905177227059, "mc2_stderr": 0.013814132496902418 }, "harness|arc:challenge|25": { "acc": 0.34215017064846415, "acc_stderr": 0.01386415215917728, "acc_norm": 0.3575085324232082, "acc_norm_stderr": 0.014005494275916571 }, "harness|hellaswag|10": { "acc": 0.45737900816570404, "acc_stderr": 0.004971619995879761, "acc_norm": 0.6102370045807608, "acc_norm_stderr": 0.004866997110388195 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.15555555555555556, "acc_stderr": 0.03130948364878315, "acc_norm": 0.15555555555555556, "acc_norm_stderr": 0.03130948364878315 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.20394736842105263, "acc_stderr": 0.032790004063100515, "acc_norm": 0.20394736842105263, "acc_norm_stderr": 0.032790004063100515 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2528301886792453, "acc_stderr": 0.026749899771241235, "acc_norm": 0.2528301886792453, "acc_norm_stderr": 0.026749899771241235 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.24305555555555555, "acc_stderr": 0.03586879280080341, "acc_norm": 0.24305555555555555, "acc_norm_stderr": 0.03586879280080341 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2023121387283237, "acc_stderr": 0.030631145539198826, "acc_norm": 0.2023121387283237, "acc_norm_stderr": 0.030631145539198826 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.19607843137254902, "acc_stderr": 0.039505818611799616, "acc_norm": 0.19607843137254902, "acc_norm_stderr": 0.039505818611799616 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.251063829787234, "acc_stderr": 0.028346963777162452, "acc_norm": 0.251063829787234, "acc_norm_stderr": 0.028346963777162452 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.20175438596491227, "acc_stderr": 0.037752050135836386, "acc_norm": 0.20175438596491227, "acc_norm_stderr": 0.037752050135836386 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135303, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135303 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.24338624338624337, "acc_stderr": 0.02210112878741543, "acc_norm": 0.24338624338624337, "acc_norm_stderr": 0.02210112878741543 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.21428571428571427, "acc_stderr": 0.03670066451047181, "acc_norm": 0.21428571428571427, "acc_norm_stderr": 0.03670066451047181 }, "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": 0.2, "acc_stderr": 0.02275520495954294, "acc_norm": 0.2, "acc_norm_stderr": 0.02275520495954294 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.18719211822660098, "acc_stderr": 0.027444924966882618, "acc_norm": 0.18719211822660098, "acc_norm_stderr": 0.027444924966882618 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.23, "acc_stderr": 0.042295258468165044, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165044 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.23636363636363636, "acc_stderr": 0.0331750593000918, "acc_norm": 0.23636363636363636, "acc_norm_stderr": 0.0331750593000918 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.20707070707070707, "acc_stderr": 0.02886977846026705, "acc_norm": 0.20707070707070707, "acc_norm_stderr": 0.02886977846026705 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.23834196891191708, "acc_stderr": 0.030748905363909895, "acc_norm": 0.23834196891191708, "acc_norm_stderr": 0.030748905363909895 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24358974358974358, "acc_stderr": 0.021763733684173912, "acc_norm": 0.24358974358974358, "acc_norm_stderr": 0.021763733684173912 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24444444444444444, "acc_stderr": 0.02620276653465215, "acc_norm": 0.24444444444444444, "acc_norm_stderr": 0.0262027665346521