open-llm-leaderboard-old/details_rombodawg__Everyone-Coder-33b-Base

该数据集是在评估模型rombodawg/Everyone-Coder-33b-Base时自动创建的，评估过程在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。数据集从1次运行中创建，每次运行可以在每个配置中找到，运行的时间戳作为分割名称。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

数据集简介

该数据集是在对模型 rombodawg/Everyone-Coder-33b-Base 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，每个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。

数据集加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_rombodawg__Everyone-Coder-33b-Base", "harness_winogrande_5", split="train")

最新结果

以下是 最新结果 的摘要：

python { "all": { "acc": 0.44306177149148895, "acc_stderr": 0.03479874859582811, "acc_norm": 0.44384185659230296, "acc_norm_stderr": 0.035519562520190985, "mc1": 0.2692778457772338, "mc1_stderr": 0.015528566637087283, "mc2": 0.42262985236898787, "mc2_stderr": 0.014934468412056808 }, "harness|arc:challenge|25": { "acc": 0.42918088737201365, "acc_stderr": 0.014464085894870653, "acc_norm": 0.4598976109215017, "acc_norm_stderr": 0.014564318856924848 }, "harness|hellaswag|10": { "acc": 0.4592710615415256, "acc_stderr": 0.004973199296339967, "acc_norm": 0.6171081457876917, "acc_norm_stderr": 0.00485098821516754 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.34074074074074073, "acc_stderr": 0.04094376269996794, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.04094376269996794 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.46710526315789475, "acc_stderr": 0.04060127035236397, "acc_norm": 0.46710526315789475, "acc_norm_stderr": 0.04060127035236397 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4377358490566038, "acc_stderr": 0.03053333843046752, "acc_norm": 0.4377358490566038, "acc_norm_stderr": 0.03053333843046752 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3333333333333333, "acc_stderr": 0.039420826399272135, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.039420826399272135 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3988439306358382, "acc_stderr": 0.03733626655383509, "acc_norm": 0.3988439306358382, "acc_norm_stderr": 0.03733626655383509 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3137254901960784, "acc_stderr": 0.04617034827006718, "acc_norm": 0.3137254901960784, "acc_norm_stderr": 0.04617034827006718 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.66, "acc_stderr": 0.047609522856952365, "acc_norm": 0.66, "acc_norm_stderr": 0.047609522856952365 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.37872340425531914, "acc_stderr": 0.03170995606040655, "acc_norm": 0.37872340425531914, "acc_norm_stderr": 0.03170995606040655 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3508771929824561, "acc_stderr": 0.044895393502707, "acc_norm": 0.3508771929824561, "acc_norm_stderr": 0.044895393502707 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5172413793103449, "acc_stderr": 0.04164188720169375, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.04164188720169375 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.41798941798941797, "acc_stderr": 0.02540255550326091, "acc_norm": 0.41798941798941797, "acc_norm_stderr": 0.02540255550326091 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42857142857142855, "acc_stderr": 0.0442626668137991, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.0442626668137991 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.2, "acc_stderr": 0.04020151261036843, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036843 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.45806451612903226, "acc_stderr": 0.028343787250540636, "acc_norm": 0.45806451612903226, "acc_norm_stderr": 0.028343787250540636 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3251231527093596, "acc_stderr": 0.032957975663112704, "acc_norm": 0.3251231527093596, "acc_norm_stderr": 0.032957975663112704 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5515151515151515, "acc_stderr": 0.038835659779569286, "acc_norm": 0.5515151515151515, "acc_norm_stderr": 0.038835659779569286 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.494949494949495, "acc_stderr": 0.035621707606254015, "acc_norm": 0.494949494949495, "acc_norm_stderr": 0.035621707606254015 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.44559585492227977, "acc_stderr": 0.035870149860756595, "acc_norm": 0.44559585492227977, "acc_norm_stderr": 0.035870149860756595 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.382051282051282, "acc_stderr": 0.02463554916390823, "acc_norm": 0.382051282051282, "acc_norm_stderr": 0.02463554916390823 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.337037037037037, "acc_stderr": 0.028820884666253252, "acc_norm": 0.337037037037037, "acc_norm_stderr": 0.028820884666253252 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.39915966386554624, "acc_stderr": 0.03181110032413925, "acc_