open-llm-leaderboard-old/details_sarvamai__OpenHathi-7B-Hi-v0.1-Base

该数据集是在Open LLM Leaderboard上对模型sarvamai/OpenHathi-7B-Hi-v0.1-Base进行评估时自动创建的。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，分割以运行的时间戳命名。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，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sarvamai/OpenHathi-7B-Hi-v0.1-Base在Open LLM Leaderboard上的自动创建的。

数据集组成

• 该数据集包含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。
• 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

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_sarvamai__OpenHathi-7B-Hi-v0.1-Base", "harness_winogrande_5", split="train")

最新结果

以下是2023-12-16T16:03:14.382672运行的最新结果：

python { "all": { "acc": 0.4158144377668671, "acc_stderr": 0.03431583720305929, "acc_norm": 0.42077773987307815, "acc_norm_stderr": 0.03514420382029662, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871114, "mc2": 0.37462221164216, "mc2_stderr": 0.014208268852646139 }, "harness|arc:challenge|25": { "acc": 0.4539249146757679, "acc_stderr": 0.014549221105171872, "acc_norm": 0.4948805460750853, "acc_norm_stderr": 0.01461062489030916 }, "harness|hellaswag|10": { "acc": 0.5512846046604262, "acc_stderr": 0.00496346465774724, "acc_norm": 0.7433778131846246, "acc_norm_stderr": 0.004358764596401024 }, "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": 0.42962962962962964, "acc_stderr": 0.04276349494376599, "acc_norm": 0.42962962962962964, "acc_norm_stderr": 0.04276349494376599 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.40131578947368424, "acc_stderr": 0.039889037033362836, "acc_norm": 0.40131578947368424, "acc_norm_stderr": 0.039889037033362836 }, "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": 0.38113207547169814, "acc_stderr": 0.02989060968628664, "acc_norm": 0.38113207547169814, "acc_norm_stderr": 0.02989060968628664 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4097222222222222, "acc_stderr": 0.04112490974670787, "acc_norm": 0.4097222222222222, "acc_norm_stderr": 0.04112490974670787 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3179190751445087, "acc_stderr": 0.0355068398916558, "acc_norm": 0.3179190751445087, "acc_norm_stderr": 0.0355068398916558 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.24509803921568626, "acc_stderr": 0.042801058373643966, "acc_norm": 0.24509803921568626, "acc_norm_stderr": 0.042801058373643966 }, "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": 0.34893617021276596, "acc_stderr": 0.031158522131357783, "acc_norm": 0.34893617021276596, "acc_norm_stderr": 0.031158522131357783 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.19298245614035087, "acc_stderr": 0.03712454853721368, "acc_norm": 0.19298245614035087, "acc_norm_stderr": 0.03712454853721368 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4482758620689655, "acc_stderr": 0.04144311810878151, "acc_norm": 0.4482758620689655, "acc_norm_stderr": 0.04144311810878151 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2671957671957672, "acc_stderr": 0.022789673145776564, "acc_norm": 0.2671957671957672, "acc_norm_stderr": 0.022789673145776564 }, "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": 0.44516129032258067, "acc_stderr": 0.028272410186214906, "acc_norm": 0.44516129032258067, "acc_norm_stderr": 0.028272410186214906 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.22660098522167488, "acc_stderr": 0.029454863835292965, "acc_norm": 0.22660098522167488, "acc_norm_stderr": 0.029454863835292965 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5636363636363636, "acc_stderr": 0.03872592983524754, "acc_norm": 0.5636363636363636, "acc_norm_stderr": 0.03872592983524754 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.46464646464646464, "acc_stderr": 0.035534363688280626, "acc_norm": 0.46464646464646464, "acc_norm_stderr": 0.035534363688280626 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5751295336787565, "acc_stderr": 0.03567471335212539, "acc_norm": 0.5751295336787565, "acc_norm_stderr": 0.03567471335212539 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.37948717948717947, "acc_stderr": 0.024603626924097417, "acc_norm": 0.37948717948717947, "acc_norm_stderr": 0.024603626924097417 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.27037037037037037, "acc_stderr": 0.027080372815145665, "